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afternoon everyone I am Aruna Kumari associate professor in the department of Information Technology at malar College of Engineering and technology and I'm delighted to be your host for this [Music] afternoon it's my privilege to extend a warm welcome to all of you to the 11th session of the a sponsored six day atal faculty development program on next gen solutions for medical challenges powered by AA based intelligence systems organized by the department of Information Technology at malar College of Engineering and Technology before we begin today's session Please be aware that attendance is mandatory for each session and your attendance will be confirmed only if you fill out the feedback form and also please note that the feedback form will be shared exclusively only in Zoom chat box but not in your WhatsApp video participants are required to maintain a minimum attendance of 80% and should secure a minimum of 60% assessment marks to be eligible to get the certificate so without any further delay let us start today's session I'm delighted to introduce our esteemed speaker for today's session Mr Harish bidi Mr Harish bidi is a highly skilled sap ABAB developer with over 10 years of I experience including significant International exposure Mr Harish Bui is currently working at Tata consultancy Services specializing in AAP and he is a certified sip Development Associate with expertise in EAP o data amtp CDs views and ABAB on Hannah he is a well vered in both implementation and support projects with a strong background in migrating Legacy applications to peori apps enhancing business applications and providing ENT end Solutions he has a solid foundation in multiple programming languages and tools such as Java HTML 5 CSS JavaScript and have successfully worked on academic and nonsp projects including iot based systems and online platforms dear all please join me in welcoming Mr Harish Bui sir we welcome you thank you ARA thank you everyone so can we start can you hear me first of all yes sir yes sir yeah so one sec yeah so good afternoon everyone this is Harish uh have so yeah first of all I would say thanks to Dr K sures is the the professor Dr K sures so having me this opportunity to give this uh fdp program and the co sorry yeah okay so the co coordinator the P PV Nares sir so um very uh thanks to everyone and who are then the participants so very good afternoon and having the break good break lunch and so we'll have the session we actively participate in this one so and now my uh so without delay in this so we'll go into this topic the artical discussion is in a real world applications and research directions in healthcare technology so before going to this topics I want to give some little bit intro on this my say uh topic one second let me share my screen so that uh you can able to see all my presentation okay one sec so hope every can everyone can see my screen and we will go yes sir yeah okay so this is the topic we are going to discuss in another 90 minute uh further 10 90 minutes and uh so and this is not a complete technical discussion so we'll try to correlate all the topics with the real time scenarios so that everyone can understand very easily okay so my so the content of this today's agenda is so I I'm going to explain main the topic is research directions before going to research directions we want to know where the applications the realtime applications we are using this AI in healthare so that's why we bring it into real world applications and so to know that so we want to know what type of Technologies also including in this healthare that's why this topic is came into this picture and and so the types of AI and the introduction so what we are doing is first we'll go with the introduction then we'll check with the types of a artificial intelligence in that so and one AI is not in a single technology it is Asing the multiple Technologies uh so we going to cover that multiple Technologies as well and then we'll going to the real world applications okay then we'll go step into re research Direction let me start the presentation yeah so this is all the content uh next the introduction of Health Care Technologies okay sorry so I'm not going to com uh explaining uh completely in this uh slide so we'll discuss further in the slides so this is just like an overview okay in healthcare Technologies what type of things we are using so first of all the enhancing decision making so what is the decision making is like in nowaday uh I can say like uh in every uh every application or every sectors a is moved uh taking uh taking their responsibilities but in health care also it's came but it is not the competitor to humans for example so as I'm an it developer I'm working in a some developmen in tools so but the a came into this it sector and it is grubbing all the human jobs but uh it is happening in all the sectors but in health care it is not like that it is just like a is giving the support to human but not a competitor to the human humans that is what I can say that and here it is giving some decisions making uh to uh us users like the doctors who all are there in the healthare systems and they have the different type of categories and different different types of uh what you can say applications we have that so that is what uh I'm going to explain now so and when we are trying to use this a algorithms it is giving the 91% of percentage of accuracy compared to the human experts okay and the Stream planing administrative tasks so uh this one we can say like in AI it is not only uh giving the suggestions it is also admin it is doing all the administrative works it's like for example if we are going anyone is going to hospitalized so they have the multiple departments is included and we have to stream lie like so everything need to be in a one track but current it is not in a uh like different sectors will be there like uh I can say first taking the appointment later we need to take the Diagnostics and then get the documentations and then climbing everything there is a different type of tasks is there so this AI will use to combine all and it will give us a very easy administrative task easily for this uh uh I can say um a okay and then there is a personalized patient care so is just like uh it is take care of everything regarding the patients uh nowadays the old people are many old people are there they don't have the support from the human level and there are nursing type or how [Music] to take that medicines on time time to Manner and the I can say and there is a another apps also giving all the time to time notifications and there's a uh personalized I can say digest plans sorry not digest so I can say meal plans something like that so the everything can be uh taken care by the AI this is what all the topics we are going to cover in next 990 minutes okay so now the next topic is types of AI actually uh the a is not in a single topic is like a multiple Technologies so the based on the their functionality and capabilities they have divided into multiple eyes so why we are categorizing because so if you keep all in one place that is not us uh handled perfect ly so I can say so even if there is any big task or complex task so if you are splitting into multiple sub task so it is very easy to accomplish the task very quickly so that's why they have divided into multiple parts so I can say there is here the other like what the article discussion in in this article so the other has divided this types of as into two parts based on their capabil and their functionalities so the capabilities is like weak AI or narrow Ai and there is a general a super a so these are like a capabilities like how much of techniques or how much of data they can handle it based on that they have divided into these three parts vka and narrow a and general a super a and coming to the the functionalities so how react how their the AI is reacting to human interactions or their inputs based on that category so there it is divided into the four parts there is a reactive machines limited memory theory of mind and the selfawareness so it is not only this restricted but it is a some of the types of AIS okay so we will discuss each and every topic in detail and we'll get to know the understanding very clearly why I'm giving this topic to a realtime application because if you know this all the basics then only we can understand the depth knowledge of like uh application real application research topics okay then coming to types of AI so there is a we said like there is a weak AI or narrow a it's just like a self-explanatory like weak AI so it is like the the scope of this type of artificial intelligence is very less so what I can say so whatever we are training to this artificial indigence it will act ing to that one only so there is a some of examples are Siri and self-driving cars and virtual assistance so these are the some of examples we means it's like they have we are training into specific task so it will not act up outbound of this uh tasks so they can't go beyond that test so that's why they have made uh make it as a weak AI or narrow a okay coming to General a is a strong a is uh like uh it is act uh more than the human or it's like compared to human intelligence like so it it can uh think in a separate like um one way and they can take take the decision as well okay so this is the general and the super it is like a fictional it's not at implemented but this is going maybe in future decades so it will come into this real world okay so these are the types of a b basing on the capacity capabilities okay and coming to the functionality a based systems we have the like four type of AIS the reative machine AI this type of category uh so it will like uh reative machine AI means so it will react to in the form of actions so the user will do something so the the AI will be acting ing to that uh inputs there is example are that the Google alphao and IBM D blue systems these systems will act to user input in the form of actions okay limited memory AI so this is like in the functionality it will have the very less memory capability I can say like uh so it will load on the previous data historical data and uh analyze the things and do the actions okay it is not uh highly storable capacity like for example it can't identify the future things like a future act uh it will uh read the historical data and act upon that but it can't um take the decisions only slowly okay the theory of mindia it is like a uh like own decision it can take the own decisions and uh it will be uh and so it will think think in a human level and the emot everything it can understand that self aware AI is like a still it is in a uh research level but not at implemented but once it is come into this real world it will be uh maybe it will uh give the very good results and it will go beyond the human thoughts I can say that okay so these are are the types of AIS and we'll go for the next Technologies okay so as of now we have discussed about only the a types so now we are going to discuss about the Technologies what type of Technologies we have used in the AI okay these are this is not only the Technologies but we have many is there but I have listed only few topics uh to understand the concept only okay and and so these are the three I have just mentioned machine learning and deep learning and natural language processing so these are the Technologies they used in the artificial intelligence okay so coming to machine learning so the machine learning is a first now it's in a dominant approach in that so it will predict uh it will what we can say in machine learning they will uh train the data with the historical all the collective data and uh they will prepare that models and it will diagnosis and provide some the treatments in this uh based on the available data okay the Deep learning is like uh so it will I can say is a very complex data so the it will read the multi-dimensional data not only specific to few datas is a multi-dimensional data all type of characteristics I can say characteristics it will read all the type of characteristics and it will not show that complexity of the data like it will hide the complexity and show whatever the data is required for human so this is what it will do it in the Deep learning and there is a natural learn language processing so uh this is like uh uh we have like for example so the many people were there having the many different languages and different type of uh um way of pronouncing and way of inputs they will give it so This na natural language processing will understand all type of uh languages and gives the proper information that is what in a real world but in coming to health care so the type of prescriptions like uh to understand that prescriptions and for example I can say even in real time so if you go to one type of blood uh like I can say test reports so all the test reports will not have the same type of uh I can say format for example okay so if I go to one type of one H portal they will give it in a different uh format and another another shop they will give the different format of uh reports right so this are L uh this the natural language processing will understand all type of uh formats and give the uh best results for with analysis that's what I can say that so mostly this NLP are using in the virtual assistants and the who all are interacting like the AI which is interacting with the humans directly so that type of yes they're using the natural language processings okay so we'll discuss in that real time examples uh wherever we are using this type of Technologies they are using that okay so coming to real world applications so we have ear so everyone knows that so there is a artificial intelligence is included in the healthare but it is in a different different sectors so now what we are doing is we are dividing all the applications based on their uh categories so so we have divided around 10 to 12 is there so we'll discuss each and everything okay so this is also the Precision medicine is one of the part so there how the AI is included in this type of discuss uh pre Mission we'll discuss on that okay so mostly here the Precision medicine is saying that so I can say like so it will take the exact medicine based on the user like the patient symptoms this is what it is doing like a pre medicine for example so the doctor is there the doctor if you go the patient will go to the doctor and if they say they will say symptoms so this is what it is happening one two and three they will give the list of symptoms okay so this artificial intelligence this application will do all the analysis and it will take the necessary inputs the necessary inputs in the sense like so for example if I go with that uh cold so okay for that cold it will be happen for multiple like uh diseases not only single one so some people might have will get it for outside weather some people might have get the cold with uh the allergy okay so the doctor will check with the what you have done and they will check all the history so what is happening and what is your uh like the previous things what you they have done everything they will check it same way artificial intelligence has to take this all the considerations and give the prescribed medicine so that's what it is happening in this uh prean medicine okay so what it will happen it will consider all the age gender and race everything so and also metabolism also so for example few cases uh even uh few months back uh I saw one interview the doctor like anesthesia gave an interview so he said like so when he went to uh like operation theater he's asking as the patient that what is your cast so why so I just like shocked why they're asking the cast because so even the in cast why is asking B so in some few cast people they will not eat the nonvegetarian so for vegetarian people they want to give the very less number of doses uh that anesthesia so because so these all the characteristics will cons has to consider that so that's what I'm giving this example because of this all the characteristics needs to be covered okay so and so these it will okay and yeah so it will consider all large multi-dimensional biological data sets so multi-dimensional in the sense so it is not only restrict with the one typ One path it will go for the genes and the previous generations data and the current scenarios like the outside weather conditions and of the food habits lifestyle everything it will cover everything and will give the proper medicines this is what uh this this application will do that and there is one example that there is a this is application actually so the Intel and uh there is a research institute has developed one learning algorithm and it is detecting up to 23 patients with a accuracy of 85% of accuracy compared to human okay so now we'll go into the next one so improv disease treatment so previous one we discussed only for the medicine prescription okay so now it is going for the disease treatment okay so for for disease treatments is not a high level so for regular uh diseases like the diabetes and uh this is uh lung diseases so for this normal regular diseases so how the AI is treating the patients so this is what one one type of application okay so there is a one application and you the control so this is the one type of application uh it is controlling the diabetes okay so how it will handle it is so this is not giving the like you can say so for example in real time so when we went to that diabetes hospital so there will be uh few nurses will be there they will check all our lifestyle and the food habits everything okay this is like it it will be same for everyone right so the AI will think read the all the inputs and take that uh recommendations what type of food we need to eat but this type of recommendations will not help us for other diseases right so this this type of application will do this okay and so what it will do so it will read uh how much of food we eat and daily how many times we have to eat and what type of food we need to take it up and how many calories we need to take so everything it will be predefined in the model and So based on the user inputs it will collect all the data and do the analysis and perform the uh giving the outputs to the patients so here you can see there is a meal suggestion based on a user got adequate BL blood sugar levels also and I can say there is a some um variable devices we have so that devices will uh detect our blood sugar levels and it will give the uh based on the sugar levels it will provide the meal suggestions so this is one type of application and there is another application resap health application this is a chronic disease management app so it will like I can say this one it will read our breathing procedures and based on that breathing things it will identify how much of the like so what type of diseases he can do and it will analyze everything and will give the results this is one type of another another type of application so it will be used in the disease tratment uh treatment levels okay and there is a uh another type of AIS so which will support when we having the human errors okay so it it will it is trying to reduce the error reduction that is what uh this slide will indicates that so and so it will avoid the human errors I can in real time so even my close relative had this type of issue what happening is so one of my uncle so he is a teacher so what happening is few years back so he had a surgery and due to some issue so he had some surgery and that so went for the operation and the doctor mistakenly left few tissues inside the body and they didn't realize till 7 to 5 years after that he has severe pain in a stomach so he went to some other hospital they treated them like there is a some different disease but after 2 to three years he uh inside the tissues everything tissues converted into cancer cells so here what happening there's a two issues is happened so one is the doctor is not uh what you can say uh oper uh not done the perfect operation because he left some few tissues inside the body that is the one type of human error and he went to another hospital that hospital people not scanned properly and they didn't finalize like uh like analyze the issue and not um provide the correct solution like I can say uh correct uh treatment not done the correct treatment because of that he met with uh he is a now it is in a cancer cells has increased in body and he's in struggling for live actually okay that is what real time it is happened but this type of all the things so AI can do better than the human I can say that so this is what it is saying 91% it is giving the accurate accurate results so and where we can do so the doing the better image processing they can uh the a can analyze this uh symptoms like and the scanner CT scans we are doing some CT scan right so and the all the CT scans the doctors can't identify exact issue but a can do that so with the help of historical data the previous data everything with this it can do that okay these are the few examples IBM Watson this one of the uh best application in oncology and there is a Google health and a Google research okay so these are all they're using with all our AI Technologies and doing the providing the best solutions to with the available data Okay so and there is the next one the patient data analytics okay so in this one based on the patient data so that one we are so far we have discussed uh only related to the diseases now it is completely dedicated to one type of patient analysis like so for example nowadays the diabetes common to everyone okay so the diab diabet it is sometimes it is coming or one like uh the personal wise or some like few things like it will coming from the genes as well so these all the data it will analyze it it can give the recommendations that what type of food we need to do and food we need to take it and what type of activities we have to do everything it will analyze it and will give the proper output okay the patient this one so this entire paragraph is saying that uh with the help of uh data how to judge that I I like I can say how to conclude one decision uh deis will come into disas will come okay so the one of the Paris public university hospital they have conducted one uh survey and they have collected all the data from few people and they have analyzed all the data how much of data they are using the terabyte of data for example uh they have stat stats they have collected all the 1100 of terabytes in lifetime they're using and each day they're doing some 6.4 okay and so like based on the data they are using they have concluded that so most of the people they are using the uh data so I can say the internet of data like so if they're using their uh the life uh they analyzed and they concluded their lifestyle will be sitting position only like that so okay so they have based on this all the data they are concluded some people having the more metabolism issues and with the help of this historical data I can say okay this is what it is described in this article okay and the medical robotics so this is so so far it is like applications this just like a software things there will do all the human data historical every all data it will collect it and provide the output this is like robotics is the mission so manual Mission things okay so there is a very good uh surgical robot there is a DI viny okay this is having uh very good uh it's like it will do all the surgical uh operations it can do that but uh still it will depend upon the human only and it will give only the suggestions and so it will do all the the type of actions and it it will show the actions to the doctors and doctor will do the final operation so but still uh very rare cases that robots are doing the treatments and I think some or one or two months back I saw one news there is a one doctor from Japan I hope from Japan he operated he done the operation remotely from one place to another place actually he is giving all the instructions to that robot robot has done the operation successfully so this is what vital role is play the a vital role is playing in this uh medical Robo robotics as well okay and there is a one more advantage that so there will be there is a space constraints like so the human hands we can't put the hands and do this operation in few cases in that place also the medical robots will take care of it and having uh doing that uh all the operations very flexibility very flexi okay and yeah so coming to realtime prioritization and triage okay and so now so so we have done the applic we have so far we have discussed about the uh patient related things and Robotics now the priority ization so what type of prioritization in the sense so we'll have for example so we'll have some little bit symptoms will come for there is a for example so there will be some pain so regularly it is coming but the people can the people or patients they will neglect that type of pains because but this type of AI will check it how frequently it is occurring and what type of uh pain it is coming and it will read everything and it will prioritize so it will give the notification that you have to admit the hospital need to do very quick action we have to do that something type of recommendations it will do that this type of AIS okay so these are the two type of examples it will do it will give the notifications like analytic the uh the P this one will give the prioritization cases so here you can see the clinical data directs them to suitable medical personal so and okay so it is also give the proper uh the person like which type of doctor we need to reach out so everything it will give the suggestion so this type of one year and there is a baby laon provides the applicable health and yeah so this is also same type of application and it will read all the type of symptoms and based on that it will give the uh recommendation so which doctor we need to consider and which type of disease we are going to get so they will it will uh guide us like actually this application here okay and there is another type of yes like personalized care or virtual assistance the virtual assistants uh here we can see the personalized cares in the sense so the patients will need uh I can say the patients will have the much more support from the humans but it will not happen for all the times the most of the some people having the uh mostly like nurses or who is taking care of their patients they need some assistance in the form of uh mentally help like they need like a mentally like uh you can say mental health support they needed it and there is a some like uh meditation and the meal support everything so they want but the human will not do everything because sometimes they will have some uh more priority work or they may be not happy to to serve with the patients something like will be there so but the humans like the as will give all the without hesitate it will give all the required inputs required outputs whenever uh whenever we required are how many times we are asking it will give without estate it will give the required data okay so these are the three type of examples there is a wh uh like a human machine interfaces uh so it is like uh it's just like a robot it will uh interact with the users directly and give the proper uh like uh help I can say the the person uh person with the disabilities so they it can drive the cars and it will drive the structure structure okay so wheelchairs everything so it will do some type of human uh the robots I can say so there we can use this type of help and there is a rudo so it will help us for the blind people so the blind people so it will give the uh it will read the uh required information and the guide the path all the things so it will give the uh uh it will help us for the blind people I can say there is a chart boards so nowadays the chat boards is more uh increasing in each and every sites also like sites in the sense web pages even if you are opening any Bank sites so the B Bank uh for example in right side corner there will be some chart box will open directly so it will come like what do you need and what type of help needed and everywhere these are type of chart Bots we can say that okay so this is type of software only and it will read the all the previous issues so how they will train this chatboard is so based on the previous user interactions for example so I have asked for example is mostly they will use it for the customer care things actually so for example there is a IC bank is there bank will have the multiple uh services will be there so how what type of service they will provide and everything they will come up with a menus and based on the menus which option we are choosing that option the selected uh like I can say answers they will give it but it will not give out of that Bond uh out of that Bond so they will give some they will try the few questions only so it will answer for that questions only it will not go out of that it's just like I can say it is a v vki or narrow AI okay and there is a virtual assistance for nursing okay so virtual assistance in the sense so uh mostly uh maybe I can say it will replace our receptionist in hospital we'll have the receptionist we'll call to them and they will book for the appointment and uh we can get the some uh assistance required like so the tablets when we need to take the tablets and how frequently we have to have have it so all these type of things the virtual assistance will replace that in nursing sections what uh I can say okay so what it will do so it will book all the appointments also based on it will check all the appointments of the doctors so which slot is available and it will tag to this uh doctor and this client so it will book the all the um what I can say the slot bookings everything it will do the it will replace that virtual assistants okay and there is a ex uh there is a real time application is a sensely so there is a virtual nurse it will give all the required information and there is and real time [Music] so and this is one thing and there is a few more uh applications we have lot of I think in online we have lot of applications we have for uh at least for few diseases like uh cold fever for that so they will it will suggest the medicines and we can use that okay and and there is a another application there is a administrative workflow assistance so this one uh it is a collective of all the Departments so from uh admitting into the hospital and after uh for discharging then climbing of insurance everything it will take care of it in a in the form of workflow okay so as of now now in real time so it is not happening in a workflow life like so we have to go to the hospital first we need to call the reception get the appointment and then we need to collect the receipt and we have to take that receipt to that hospital later we need to take the like doctor visit after that collect the rec uh uh reports we need to take it them back to Doctor they will check all the reports and they will do the analysis and next the bills collecting so everything will be in different different uh paths actually so this administrative workflow assistance will collect everything in in a systematic workflow so whenever we are booking the appointment it will come into this first uh portal and next so the same will be shared with the doctor so no need of human interaction so directly it will collect the appointment and this appointment will be shared to the doctor and once we go to the lab they will uh take the like what you can say the receipt of the blood test results that will collect to the same app and the same will be shared with the doctor so the everything will be uh do the frame withth workflow wise so there will be uh separate steps I can say that okay and yeah so and this a also improving in the biomedical research so biomedical research in the sense so it will be useful when we are doing the research students they are doing they have to do some researchers so we'll have lot of resources I can say the digital libraries and there is a uh I can say the formulas the chemical uh related things so everything in a different sections will have separate separate things so but our AI once we ask them so it will collect all the multiple information and the related information into one place and we can so it will save the time and give the best results I can say for example so if you are searching with any uh I can say the one particular information in Google okay so it will give the bunch of results okay but our required information will be somewhere in the ninth row or 10th result somewhere it will be there but now if you are using the chat bot uh sorry chat GPT so if you're asking the any question it is giving the exact result it is not asking us to go for another result go for the next one choose it is not giving the mult multiple options is giving the straight answer so that we can able to save the time and we are getting the required information so we can save the time and [Music] uh yeah so and we'll get the required information now so no need of read for another uh thing this is what we can say so this is also one type of one application is there there is a e doctor to diagnosis manage and pronounces okay so these are are the things when uh when we are do going with a medical research okay and and there is another type of application is the drug Discovery Okay so the drug Discovery in the sense so we have the medicines for to identify the like for example to to discover the drug okay we need to identify the uh I can say the disease or virus so virus will have some patterns for example uh last uh this pandemic covid pandemics right so it this is also one type of virus so the we need to to identify the drug so we need to identify that dis that virus patterns how it is behaving so what type of patterns it is using what type of structure it is doing so to to recover that so what type of drug we need to do so we need to analyze that entire the virus so it is not uh it will not happen when we are going with a human reading like right so for that we need to collect all the required images and the patterns everything by but this a will do collect the information in effectively so what type of all the drugs not drugs so the structure and the how it is uh resitting it everything so with the help of AI we can easily get the required information and we can uh discover the drug so the by using the Deep learning so they are using uh by using this deep learning they're doing the drug Discovery so this is what uh a technology we are using in the drug Discovery deep learning okay yeah so now we will going to discuss these are the uh applications we have discuss uh all the applications uh in real time scenario so uh I will give you small I will show you the article sorry yeah sorry so yeah so so far we have discussed about this article only so here we can see there is a improve disease treatment so these are the applications we have discussed pre medicine and the improved disease treat diagnostic error reduction and decision support and medical robotics in the prioritization and Tre administrative workflow virtual assistants this one okay now uh so far we have discussed about the applications where we are using this AIS and um which places we are doing so as of now we are discussed about the only advantages how we are utilizing everything but there will be some challenges also so once we know these challenges we can easily identify the research so where we can do the research and we can improve the performance everything okay so ever our other has uh given some the challenges so where we can do that uh where we are lacking uh in that okay this is the water so the data privacy and cyber security so this is the most dangerous uh challenges I can say that so because so we are putting each and every entire our details into that AI so if that AI is utilized in a perfect way there is uh everything is good but if that uh type of uh data is mislan they have used for some different wrong negative way so it will be huge impact on that uh patients so I can say so this one uh recently I saw one movie so in that movie the uh one of the lady will have some art disease for that she will implant them some I don't know the device name so she will put that device into their heart actually okay so with that help of that device only the heart will be uh functioning okay so this uh the device will send the hbit data everything into cloud and the cloud uh the application will be utilized okay but one of the person they will hack the data and they will manipulate the data so how it is like so the heart will uh do the functioning based on some are like uh minute per minute uh beats per minute right so BPM something so 72 heartbeats like so what he done is so it will set for the device actually okay that person has uh changed that uh setting to some highly they have increased that uh heart rate actually so due to that she has died okay so this type of issues will come when we using the artificial intelligence using in a wrong way that is what is going to explain here so the data privacy and security so the data should be always be in a secure way okay and reliability and safety so and so in the same scenario we can say so it should be real data not like uh so it should if the something is happen in that particular time it should happen on that particular time should not uh done from like after 15 minutes after 10 minutes or something it should not like that so it should be on the time like it's it should be really uh relatively relative time I can say that so the safety also very important and accountability Al accountability accountability of Technology use okay so what it is saying that is basically this artificial intelligence or this device is developed by the normal people like us so I don't uh as a technical persons okay as a technical persons don't have the medical knowledge on that so so while developing that application as a non core person so they have to take care of everything and give the uh to know the end to endend scenarios and how to develop that application that is what it is doing the technology of using okay and the potential loss of support system and aut autonomy so the actually the I can say um maintainability maintenance I can say so the maintenance uh like the device or if you're using the any hardware device it should be more supportable like it should not get multiple mainten uh it should not comes for the repair something like that so it is the tone of that sentence is the it should not come for the multiple damages okay and the challenges in generalization of new po populations okay so it is generalization okay it it has to use only the particular data only medical data has to use that not a other things okay and the technology changes challenges okay so and here also they're saying that it is developing by the humans so we have to avoid the human errors and organizational and managerial challenges so we should not uh go with the like uh the data misuse uh okay let just uses this one and yeah uh so okay so this type of data so what we are using is it is a very highly secure data so it should not exchange with any the other unauthorized users and it should not misuse that okay so and micius use so it should be uh motor behaviors that reveal the identity and secret information of involved person so mostly this is also it is saying that it should not uh use for other use other usage only for medical purpose okay these are the challenges so when we are going with the AIS okay and now we we'll go with the research areas SEC drop Discovery okay and the research directions so Ai and and machine learning Innovations so mostly we are using the a for a we are using the machine learning techniques okay so there we are using some algorithms is there so they have developed but still we need a little bit improvements is required so for that we have to do the integrate all the electronic health records and do get the better data okay so what we can say is like in machine learning we have to use much more uh algorithms to do better invo uh better results I can say so Advanced variable and implants so nowadays we are having everyone so previously we don't have any such variable devices like a smartwatch and there is a for diabetes also we had I had like uh there is a one strip it if you hold it the V hand it will identify the our glucose levels so that the diabet diabetes patients will can uh they track their diabetes levels and they can uh get their medicines time timely manner so so we have to more work on that advanced variables and implants so so we can see in nowadays in movies we can see all these type of Advanced Technologies maybe it should come in future decades this type of advanced variables okay um Health tracking systems bio sensors this is what uh so previously in application we have discussed about the pre Precision medicine so for that so they have used the a driven analysis genetic data for precise drug targeting so the what he is doing is like previously which we saw that uh we have discussed about diabetes also coming based on some previous generations also and some type of like uh genes also right so this type of Innovations or research we have to do it in the a level so this is what it is saying the genetic data and the cyber security and healthare so uh so we said like all our health data is not a uh public data so it's like a very secure data so we should not the data should not exposed to public so it should be very uh encrypted to end to end encrypted we should maintain it as a end to endend encrypted so for that so there is a hope to innovate the uh increase the cyber security like uh security protocols needs to be implemented in a healthcare system as well this is what it is saying in fourth step and the sustainability in healthcare technology so and so the durability I can say like a durability more efficient way of the devices we need it you should not uh plug G Play devices so we have to give the energy efficient medical devices and uh the correct material like what we can say like uh sustainable materials has to be improved in the healthcare Technologies though these are comes in the hardware research technology like hardware part it's not in a software like the algorithms not is not in algorithms but where we are discussing the cyber security these are the software things like algorithms needs to be implemented in this session and the preion mission also is a like of algorithms where we need to implement more concentrate on that and this is the this is the thing like where we have to focus on the hardware like devices where we need to implement it okay Advanced Ai and machine learning so explainable AI so where we can see uh so as of now in each and every persons will have if you are asking the question it is replying that but it is not able to realize the situation and can't answer this answer it so that is what it is not happening but we have we have to think about in that explainable AI so where we can if you're asking some question so it should explain the uh things like it will collect all the multiple multi-dimensional data and provide the correct uh answer so that type of things we can do that and integration with the EHR uh electronic health records I can say so as of now we are going with the normal records so maybe in future they will convert all the reports will be converted into electronic records there so there we can read everything by the artificial intelligent and perform the uh analysis and give the medicines okay and the pre uh Precision medicine and genomics so this is also same like as we discussed about the thing so so C spr is one of the genome editing technology there we can uh have the scope to add more Innovations research topics we can do that so to provide the more info uh I can say efficient uh things okay okay and the cyber security and data privacy it is like a repeated one I hope okay uh okay so the the here also they're discussing about the data privacy and cyber security that uh the keeping of patient records in a very secure manner so for that so there we can more more focusing on the implementing the secure protocols where we can do some uh end to endend encryptions to add that with the uh High reliability and the proficient see okay so a driven threat detection so if a can able to has to detect if there is any malw function is is happening something like that so nowadays even mobiles also detecting that uh and mobiles will having some popup saying that there is a malware app function uh app is detected need to delete it something like that so it should detect all type of males everything so there we can do we can FOC F more things to do the improvements require the improvements in that okay so sustainable technology development eco-friendly devices in the sense so so so it should not like uh the devices which we are developing should not be the it should be the echo friendly devices not a uh not a nature disasters like so I can say uh you should not dis the nature so have the the material which we are using for the a hardware devices should be in a eco-friendly and energy efficient system so you should not uh having the so if for example even if you're purchasing the mobile so if it is asking for keep on asking for the charging so we not happy so same way so that should be be now energy efficient it should be life longer uh more longer uh workable like in the healthcare facilities that's what I can say so biomechanics and biophysics next gen development of and Prosthetics with Advanced neural interfaces okay so this is like uh uh in AI as of now so it is uh improved till the certain level but not reach to the new neural level interfaces but there is a much more uh scope in the developing of the algorithms in the neural level there is another thing like implantable devices so last example I have discussed about there is a implantable devices like so we are keeping some devices inside the body so that one we have to more take care of it with the best exam like uh best algorithms so you should not like so once you are implant into your body but if it is not functioning that is not easy to replace it right so we have to more focus on that type of algorithms and the devices the finally uh I think we have discussed all the things so I can conclude that so so as of now so AI is uh finally the H AI is giving the very crucial role in our nowadays in as in digital world now we are going with the digital world right so the AI having the very vital role in this uh Generations okay and now even the human also not working with their own mindsets they completely div depending upon the a so where we need to so we have to build that artificial intelligence in the such a way that it should give the correct results I can say not a results or outputs in a better thing so not with the human errors because so human can do many ER like so the human errors is a they can do that so it's a quite possible but the mission so whatever you are uh the human or what our person like the developers who giving that so they will give it will act ing to that one only so whatever we are training or giving the data how we are modeling the data we have to be in a careful that so that so it will Dy very Qui easy way that is what I can say that so yeah that's it uh so I can conclude my session thank you uh dear participants if you have any qus you can please post in the chat um first of all I would say thanks to everyone for the patience and active listen listening thank you very much so where I can stop sharing sir we are truly grateful to you sir for gracing this occasion with your presence and enriching our understanding with your profound knowledge thank you so much s thank you