Educational Programs

AI for Medical Professionals – June 2025

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:

  • Providing a foundationalunderstanding of AI and itsrelevance to healthcare.
  • Familiarizing participants with the applications of AI techniques in clinical practice.
  • Fostering awareness of ethical and governance issues related to AI in medicine.

Target Group

  • Postgraduate medical students (MD/MS/MDS/Equivalent).
  • Faculty and medical professionals (MD/ MS/ MCH/ DM/ MDS/MBBS/ BDS).

Eligibility:

  • Basic knowledge ofhealthcare processes andclinical practice.
  • Curiosity for understanding the impact of modern technology in healthcare.

Expected outcomes

  • Understanding of AI concepts and theirapplications in healthcare.
  • Ability to evaluate AI tools in clinical settings.
  • Hands-on experience with AI tools and basicmodel development.
  • 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.
  • Image-based – Retinal Scans (Diabetic Retinopathy), Chest X-ray (Pneumonia / Covid)
  • Tabular data-based – EHRs (Covid, Sepsis)
  • Molecular-based – Genomics (Cancer), Structural Biology (Drug Discovery)
  • Text-based – Medical question-answering (Q&A) systems, ChatGPT Chatbots for Physical & Mental health
  • ML and DL Algorithms: Tree-based methods (decision trees, random forests) , Neural Networks (NN) (multilayer perceptron, support vector machine), Hierarchical Clustering, Deep Neural Networks (convolutional, recurrent, transformers)

Module 3: Clinical Applications

  • Structure of Case Studies: 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, Diagnosis, Prognosis, Treatment, Patient Management, Hospital Resource Management
  • Specific Case Studies: 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.
  • Signal-based – ECG (cardiovascular diseases), EEG (sleep staging)

Module 4: Ethics and Governance of AI

  • Data protection, privacy, anonymity, biases – Regulations and governance frameworks for AI as a medical device

Hands-on AI Projects (optional)
Building a basic machine learning model Simple AI projects relevant to healthcare.

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.

Online 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.

Assessment: The course videos would also have short quizzes / assignments to complete before the contact session. Post-course assessment to measure learning outcomes.

Certification: Certificate of course completion will be issued jointly by IIIT-H, IHub-Data, & NAMS.

Details of Upcoming Cohort :

Date of commencement : June 2025

Coordinators :

Judish Raj <judish.raj@ihub-data.iiit.ac.in>,

Midhuna Chandran <midhuna.chandran@ihub-data.iiit.ac.in>
PH: 9400224661 (whatsapp)

Admission closed for June 2025 Batch

Course Fees

Faculty and medical professionals (MD/MS/MCH/DM/MDS/MBBS/BDS or equivalent):
Rs. 30,000 (all inclusive)
Postgraduate medical students (MD/MS/MDS or equivalent) :
15,000 (all inclusive)

Attendance of Registered Participants

Initial of your name Last 3 digits of your Number Institute Name Session 3 Session 2 Session 1
M.RXXXXXX318Tata Memorial Cancer Centre001
M.CXXXXXX836Andaman &Nicobar Islands Institute Of Medical Sciences000
R.KXXXXXX027Indira Gandhi Institute Of Medical Sciences, Patna, Bihar111
M.AXXXXXX786Asian Institute Of Gastroenterology111
S.DXXXXXX313Apollo Hospital, Jubilee Hills, Hyderabad100
U.GXXXXXX549Apollo Cancer Centre Chennai111
T.TXXXXXX032Vivekananda Medical Institute, Palampur, Himachal Pradesh111
H.JXXXXXX588GR Medical College111
S.DXXXXXX048AIIMS Rajkot111
K.CXXXXXX306Captain Srinivasa Murthy Central Ayurveda Research Institute Chennai111
N.SXXXXXX315Asian Institute Of Nephrology And Urology101
M.RXXXXXX437A.C.S.R Government Medical College000
S.SXXXXXX632Sindhu Hospital010
V.CXXXXXX385Dr NTR University Of Health Sciences011
R.PXXXXXX671Indian Army011
D.DXXXXXX899Mata Gujri Memorial Medical College And Lsk Hospital, Kishanganj111
T.SXXXXXX199High Risk Pregnancy Clinic, New Delhi111
M.DXXXXXX456KIMS Hospital100
A.RXXXXXX947Shri Atal Bihari Vajpayee Medical College And Research Institute Bangalore111
L.MXXXXXX268AIIMS Rishikesh111
B.MXXXXXX898ILBS111
A.PXXXXXX444CMCH Hospital110
S.TXXXXXX315Asian Institute Of Nephrology And Urology000
P.GXXXXXX462AIIMS Bilaspur001
C.HXXXXXX319Govt.Of Gujarat _Ayush Department011
P.SXXXXXX040Care Hospital, Hyderabad011
A.BXXXXXX123Central Govt111
S.GXXXXXX445Central Govt000
A.JXXXXXX051Armed Forces110
K.SXXXXXX946Rainbow Hospital, Hyderabad; St. John Hospital, Banagalore111
M.AXXXXXX019GMCH Sundargarh110
R.JXXXXXX063Rajeev Eye Hospital000
A.GXXXXXX478AIIMS New Delhi111
S.GXXXXXX321Amaltas Medical College011
A.NXXXXXX811Medical College111
R.KXXXXXX959Sri Aurobindo Institute Of Pharmacy- Saims, Indore001
H.VXXXXXX800Yashoda Hospital001
G.MXXXXXX552Agilus Diagnostics Midnapore Stat Lab111
S.TXXXXXX625Government Medical College, Siddipet000
K.GXXXXXX3898Carol Davila University Of Medicine And Pharmacy, Bucharest111
B.AXXXXXX551TVVP – Malakpet111
A.NXXXXXX097Government Medical College, Badaun111
L.LXXXXXX459Sri Venkateshwaraa Medical College Hospital And Research Centre110
R.SXXXXXX505Sri Aurobindo Institute Of Pharmacy Indore101
B.PXXXXXX665Karnataka Institute Of Endocrinology & Research110
D.BXXXXXX900ILBS011
D.CXXXXXX574Government Medical College Calicut111
S.MXXXXXX508NM Medical Centre, Mumbai110
V.LXXXXXX568Apollo Hospitals, Navi Mumbai111
B.BXXXXXX057Pediatrics, Pgimer , Chandigarh101
P.DXXXXXX247IMA & SH110
T.SXXXXXX350Squad Medicine And Research010
S.PXXXXXX670AIIMS Bhubaneswar110
R.MXXXXXX773AIIMS Jammu111
M.NXXXXXXXXX913Burjeel Medical City , Abu Dhabi110
A.KXXXXXX655MLB Medical College Jhansi001
D.MXXXXXX183Apollo Institute Of Hospital Administration111
G.KXXXXXX614Nimhans Banagalore111
M.AXXXXXX282AIIMS New Delhi111
S.NXXXXXX780AIIMS Bhubaneswar001
R.KXXXXXXXXXXX662NHS, United Kingdom001
M.RXXXXXX030Star Hospitals , Nanakramguda011
F.FXXXXXX977FS Endocrine & Diabetes Center111
A.MXXXXXX3490University Of Puthisastra, Cambodia010
M.SXXXXXX157Saveetha Medical College And Hospital,Thandalam,Chennai001
O.AXXXXXX003Jaipur Dental College101
G.RXXXXXX978ILBS111
A.BXXXXXX911KIMS Hospital001
W.AXXXXXX533Osmania Medical College/ Hospital Hyderabad111
M.CXXXXXX678RGUHS111
D.TXXXXXX448Acharya Harihara Pg Institute Of Cancer000
K.BXXXXXX712Mediciti Institute Of Medical Sciences111
D.DXXXXXX414Amala Institute Of Medical Sciences111
N.SXXXXXX901Desh Bhagat University, Punjab010
V.TXXXXXX294AIIMS Bathinda111
G.GXXXXXX328Tata Memorial Centre, Mumbai101
S.LXXXXXX832Fernandez Hospital111
M.AXXXXXX560Chirayu Medical College And Hospital111
A.SXXXXXX205JNU Medical College, Jaipur111
S.BXXXXXX546Piramal Swasthya111
N.NXXXXXX153SPH & Delhi Institute Of Trauma And Orthopaedics111
A.VXXXXXX808PT JNM Raipur111
V.MXXXXXX155Rohilkhand Medical College And Hospital, Bareilly000
P.BXXXXXX996Rohilkhand Medical College And Hospital, Bareilly101
C.RXXXXXX917Aravind Eye Hospital , Madurai000
S.CXXXXXX433Atal Bihari Vajpayee Medical University, Up111
P.CXXXXXX449Mahatma Gandhi Medical College & Hospital011
G.VXXXXXX253Niloufer Hospital,Osmania Medical College, Hyderbad.111
M.GXXXXXX436Sigtuple Technologies111
V.CXXXXXX646Sri Venkateswara Medical College111
D.MXXXXXX362JIPMER, Puducherry000
J.KXXXXXX203Armed Forces Medical Services000
D.SXXXXXX319Govt.Of Gujarat _Ayush Department000
S.MXXXXXX407Atal Bihari Vajpayee Medical University Up000
K.VXXXXXXXXX915AIIMS Bhubaneswar110
V.OXXXXXX778Mahatma Gandhi Medical College And Hospital000
R.CXXXXXX863CH000
G.TXXXXXX436Sigtuple Technologies011
R.PXXXXXX296JIPMER, Puducherry111
S.VXXXXXX869Basavatarakam Indo-American Cancer Hospital And Research Institute011
L.FXXXXXX465Fehmicare Hospital010
A.KXXXXXXX142NSMCH, Adityapur000
B.GXXXXXXX200NIL110
V.NXXXXXXX650TATA MEMORIAL CENRE100
I.JXXXXXXX404CIFF010
M.MXXXXXXX338Apollo010
C.KXXXXXXX476Nizam Institute of Medical Sciences 100
S.SXXXXXXX009HCG000
AXXXXXXX954BMH 000
M.RXXXXXXX612Tiny Hearts Thanjavur000

Instructors

Teaching Support Team

Coordinators