AI for Medical Professionals (2024)
Introduction and Background:
The integration of Machine Learning based Artificial Intelligence (AI) in healthcare is transforming the way medical professionals diagnose, treat, and manage patients. However, many clinicians lack the necessary skills and understanding to effectively leverage these technologies. This course is designed to bridge this gap by equipping clinical professionals with the knowledge and tools to understand, evaluate, and apply AI in clinical settings, ultimately enhancing patient care and operational efficiency.
Objectives:
- Sensitization, appreciation, and familiarization with applications of AI tools and technologies in healthcare.
- Fostering awareness of ethical and governance issues related to AI in medicine.
Target Group
- Faculty, and medical professionals (MD, MS, MCh, DM, MDS).
- Postgraduate medical students (MBBS, BDS)
Eligibility:
- Basic understanding of healthcare processes and clinical practice
- Curiosity for understanding the impact of modern technology in healthcare.
Expected outcomes
- Informed, Aware, and Responsible end-users of AI
- Ability to evaluate, test, and validate AI applications
- Improved ability to critically assess AI research and technologies.
- Enhanced ability to work collaboratively on AI projects in healthcare.
Course contents
Module 1: Introduction to Artificial Intelligence (AI) in Healthcare
- Clinical data sets: Data sources and types (structured, unstructured); Standards in data acquisition and management; Opportunities and challenges in data handling
- The role of smart and intelligent systems in clinical workflow: Computer systems in clinical workflow; traditional systems vs. intelligent systems in healthcare; concepts of intelligence and smartness
- Recent Inroads / Trends of AI in Healthcare: Landmark applications in healthcare
Module 2: Basics of Machine and Deep Learning (ML & DL)
- Introduction to AI: Definition, history, evolution, and applications of AI
- Learning paradigms: Supervised Learning (Classification & regression); Unsupervised Learning (Clustering); Reinforcement Learning
- The ML Pipeline: Feature extraction, selection, and dimensionality reduction; Model building, validation, and evaluation metrics
- Recent Trends in AI: Generative AI, Foundational Models, ChatGPT
Module 3: Clinical Applications
- Structure of Case Studies:
- Components: Clinical presentation and role of AI/ML; Data preparation and feature processing; Model building and evaluation [ relevant ML and DL algorithms will be introduced]; Results, inference, and wrap-up
- Domains (any 4 topics)
- Screening: early detection, monitoring, wearables, chatbots
- Diagnosis: staging, grading, subtyping
- Prognosis: survival / risk prediction, treatment outcomes
- Treatment Related: surgery, drug delivery, precise intervention
- Patient Management: recovery, readmission, monitoring (ICU, ER)
- Hospital Resource Management: administration, pharmacy, insurance, fraud
Cases from the above domains will be discussed in relation to various data types (bio signals, images, tabular, molecular, and textual) and different algorithms (tree-based methods, neural networks, deep neural networks) relevant for specific problems.
Module 4: Ethics and Governance of AI
- Ethical issues, data protection, privacy, anonymity, biases
- Regulations and governance frameworks for software as medical device
Course Delivery and Certification
Lectures: Pre-recorded lectures (~1 hour content delivered as 4 videos each of 15 minutes duration) released every week for participants to enable flexible learning at their convenience.
Contact Sessions: Weekly online contact session (1 hour duration) comprising summary of the lecture material, tutorials on the material covered in the video lectures, Q&A, and live demonstration of case studies.
Demo of AI applications: Demo of simple AI applications relevant to healthcare are taken up during the contact sessions.
Expected Study-time: 3 hours per week.
Course Assessment: The course videos would also have short quizzes / assignments to complete before the contact session. Post-course assessment to measure learning outcomes.
Certification: Upon satisfactory completion of lectures, contact sessions and assessments, a certificate of course completion will be issued jointly by NAMS and IIIT-H.
Enrolled Participants
| Participant Name |
|---|
| Dr Vinita Agrawal |
| Dr Vijay Alexander |
| Dr Neeraj Anand |
| Dr Anupama Pathak |
| Dr Arka De |
| Dr Pradeep Arumugam |
| Dr Deepak Bandhu |
| Dr Mithu Banerjee |
| Dr Neeraj Bedi |
| Dr Deepak keshav Bhangale |
| Dr Ramesh Bharti |
| Dr Binay Kumar Biswas |
| Dr Pranjal Jyoti Chakravarty |
| Dr Amit Chaudhary |
| Dr Anjuman Chaudhary |
| Dr Siddhi Chawla |
| Dr Chitra Galande |
| Dr Deeksha Arya |
| Dr Deepa Pande |
| Dr Saloni Desai |
| Dr Arun Kumar Dora |
| Dr Gayatri Makwana |
| Dr Amit Goel |
| Dr Ananyaa Gowthavaram Chengala |
| Dr Archit Goyal |
| Dr Nikhil Gupta |
| Dr Pallav Gupta |
| Dr Rohit Gupta |
| Dr Tarana Gupta |
| Dr Naveen H R |
| Dr Neemu Hage |
| Dr Harpreet Grewal |
| Dr Jasmeen Gupta |
| Dr Mohamed Javid |
| Dr Jayadevan ER |
| Dr Mary Joan |
| Dr Jerrin Maria Jose |
| Dr Pratibha Kale |
| Dr Lulu Fathima Khalid |
| Dr Shahnawaz Hamid Khan |
| Dr Simmi Kharb |
| Dr Arti Khatri |
| Dr Venugopal Kota |
| Dr Pramit Kumar |
| Dr Ajay Kumar |
| Dr Baljeet Maini |
| Dr Pranita Mandal |
| Dr Prasenjit Mitra |
| Dr Sanjib Mondal |
| Dr Manjunath P R |
| Dr Harshil Patel |
| Dr Abhishek Pathak |
| Dr Amol Ashok Pawar |
| Dr Piyush Kumar |
| Dr Anshuman Pradhan |
| Dr Sreekanth R |
| Dr Gerard Marshall Raj |
| Dr Vijayaraghavan Rajan |
| Dr Ram Samujh |
| Dr Ved Prakash Rao Cheruvu |
| Dr Rashmi Iyengar |
| Dr Rajul Rastogi |
| Dr Tapasya Rawat |
| Dr Debadrita Ray |
| Dr Rekha Singh |
| Dr Akash Roy |
| Dr Karthik S |
| Dr Gayathri S |
| Dr Surendra Kumar Saini |
| Dr Ratika Samtani |
| Dr Shashwat Sarin |
| Dr Sasindan M |
| Dr Pratishtha Sengar |
| Dr Sumita Sharma |
| Dr Dipti Shastri |
| Dr Laraib Sheikh |
| Dr Aditya Shetti |
| Dr Ravi Kiran Sindhuvalada Karnam |
| Dr Vikram Singh |
| Dr Ritesh Singh |
| Dr Deepa Singh |
| Dr Ashutosh Singh |
| Dr Tapas Som |
| Dr Davana Sunkari |
| Dr Rupjyoti Talukdar |
| Dr Suresh Kumar Thanneeru |
| Dr Ajith Thomas |
| Dr Tirthankar Deb |
| Dr Arvind Tomar |
| Dr Parimohan Varshney |
| Dr Peeyush Varshney |
| Dr Varun Yadav |
| Dr Bharat Yalla |
| Dr Bindu R Nayar |
| Dr Amar Pret Kaur |
| Dr Ashok Kumar Choudhury |
| Dr Chaitanya Krishna Kondabala |
| Dr Erukkamabttu Jayashankar |
| Dr Ittyara Paul Vadassery |
| Dr John Titus George |
| Dr K Bhaskar |
| Dr KP Kochhar |
| Dr Krantisurya Mohan Mane |
| Dr Vemuri Mahesh Babu |
| Dr Mayur R Moreker |
| Dr Nabnita Patnaik |
| Dr Navneet Singh |
| Dr Neha |
| Dr Pankaj Mohan Varshney |
| Dr Pradip B Barde |
| Dr Pradosh Kumar Sarangi |
| Dr Pramod Sudhakar Lonikar |
| Dr Preetam R Acharya |
| Dr Priyanshu Mohan Varshney |
| Dr Ramesh Krishnan |
| Dr Prof K H Reeta |
| Dr Rekha Priyadarshini |
| Dr Rijas K |
| Dr Dholariya Sagar Jayantilal |
| Dr Sameen Kasim Khot |
| Dr Sandeep Kumar Agrawal |
| Dr Sanjay Kumar Rai |
| Dr Santhosh Kumar E |
| Dr Saumyendra V Singh |
| Dr Saurabh Kumar Gupta |
| Dr Shamita Mitra Saha |
| Dr Shilpa Kaore |
| Dr Siddhartha Santosh Shrivastava |
| Dr Soumitra Chakravarty |
| Dr D Sree Bhushan Raju |
| Dr B Subhash |
| Dr Sumanashree M |
| Dr Sundhareshwaran Chandrasekaran |
| Dr Swapnil Ramesh Dhampalwar |
| Dr Varun Kumar Singh |
| Dr Nihar Ranjan Pradhan |
| Dr Maj Sanjay Yadav |
| Dr Gurmeet Singh |
| Dr Prabhat Kumar Chaudhari |
| Dr Madhanraj Selvaraj |
| Dr Navinchana M Kaore |
Participated Institutes
| Institute Name |
|---|
| SGPGIMS, Lucknow |
| Christian Medical College, Vellore |
| King George Medical University |
| King George’s Medical University U.P., Lucknow |
| PGIMER, Chandigarh |
| Tata memorial centre (HBCH &MPMMMCC) Varanasi |
| Bandhu Nursing Home |
| AIIMS Jodhpur |
| KMC Medical College Maharajganj UP |
| MEDANTA THE MEDICITY HOSPITAL |
| King George’s Medical University UP Lucknow |
| ESIC Medical College Hospital, Bihta, Patna |
| Tezpur Medical College and Hospital |
| King George’s Medical University , Lucknow, India |
| Rajershi Dashrath Autonomous state Medical College,Ayodhya |
| AIIMS jodhpur |
| NAMO Medical education and research Institute, Silvassa |
| King George’s Medical University, Lucknow |
| Sir HN Reliance Foundation Hospital & Research Centre |
| SIR HN RELIANCE FOUNDATION HOSPITAL, MUMBAI |
| ALL INDIA INSTITUTE OF MEDICAL SCIENCES, BHOPAL |
| Dr Ismail polyclinic karama |
| Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS) |
| Malla Reddy Institute of Medical Sciences |
| Indian Spinal Injuries centre |
| Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow |
| Sir Ganga Ram Hospital, New Delhi |
| AIIMS RISHIKESH |
| Pt BDS PGIMS Rohtak |
| IGIMS, Patna |
| AIIMS Bibinagar |
| University College of Medical Sciences |
| T.S. MISRA MEDICAL COLLEGE AND HOSPITAL LUCKNOW UTTAR PRADESH |
| Chengalpattu Medical College |
| Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala |
| Christian Medical College and Hospital Ludhiana |
| Port Health Organisation Cochin – Contractual |
| Institute of Liver and Biliary Sciences |
| Houston Clinic Dubai |
| Sher-i-Kashmir Institute of Medical Sciences |
| Pt BD Sharma PGIMS, Rohtak |
| Chacha Nehru Bal Chikitsalaya |
| Yashoda Hospitals, Secunderabad |
| All India Institute of Medical Sciences, Bhopal |
| AIIMS Rishikesh |
| MMIMSR, MULLANA, AMBALA |
| All India Institute of Medical Sciences, Bhopal, Madhya Pradesh |
| Postgraduate Institute of Medical Education & Research (PGIMER), Chandigarh |
| KPC Medical College and Hospital, Jadavpur, Kolkata 700032 |
| Ramaiah Medical College |
| AIIMS Raebareli |
| Command Hospital |
| Zen Hospital |
| King George’s Medical University |
| All India Institute of Medical Sciences, Bibinagar, Hyderabad |
| Pulamanthole eye centre |
| AIIMS Bibinagar, Hyderabad |
| Institute of Liver and Biliary Sciences |
Contact :
Midhuna Chandran, iHub-Data, IIIT Hyderabad
Email : midhuna.chandran@ihub-data.iiit.ac.in
Announcement: Next batch on AI for Medical Professionals will commence in June 2025. Details of the course are at https://ihub-data.ai/archives/courses/ai-for-healthcare/
Instructors
Teaching Support Team
Coordinators
© Design by Midhuna Chandran, 2025
