AI for clinicians

AI for clinicians

Last date of the Registration : 30th April, 2026 (until 10 am)

100 in stock

SKU: Dates of the Short term course - 10th April to 3rd May, 2026 Categories: , ,

Profile of the instructor(s)

Prof. Balaji Srinivasan
Wadhwani School of AI, IIT Madras

Balaji Srinivasan is a Professor at the Wadhwani School of AI and Dept. of Mechanical Engineering at IIT-Madras. He has a PhD from Stanford (2005), MS from Purdue, B.Tech from IITM. His current research interests are in Scientific Machine Learning, Numerical solution of PDEs and Applied Deep Learning.

Prof. Ganapathy Krishnamurthi
Wadhwani School of AI, IIT Madras

Ganapathy Krishnamurthi is a Professor at the Wadhwani School of AI. He has a PhD from Purdue University (2008), MSc (Physics) from IITM. His current research interests are in Generative AI, and Deep learning applied to Medical Image Analysis and Medical Image Reconstruction.

Modules of the Short term course

Module name Concepts covered Learning
outcomes
Understanding
AI		 What makes
modern AI tick?		 Learners will be able to explain the basic ideas behind modern AI, identify major categories of AI methods, and understand the AI training loop and inference in simple terms.
AI in Image Diagnostics: Classification and Segmentation How to use
relevant tools for
image
diagnostics		 This module introduces learners to the fundamental ideas underlying image classification and image segmentation in medical imaging. Participants will gain an intuitive understanding of convolutional neural networks and their role in image-based diagnostic tasks, including classification, segmentation, and image registration. The session will also include demonstrations of AI tools used for image segmentation and image registration, helping learners connect core concepts with practical clinical applications.
Sequence and
Language
Models in AI		 Ideas behind the
modern LLM
(Large Language
Model) revolution		 Learners will be able to explain the core idea behind sequence models and large language models, describe how LLMs process and generate text.
Applications of Language Models in Clinical Practice How to use
relevant tools for
report generation		 This module introduces learners to the emerging role of clinical large language models in healthcare practice. Participants will develop a basic understanding of how such models can support clinical workflows and decision-making. The module will also cover the key ideas behind vision-language models and their applications in medicine. Demonstrations will showcase clinical LLMs for report generation from image inputs, as well as pipelines in which image classification models are combined with language models for automated report generation.

Session details

Dates of the Short term course : 10th April to 3rd May, 2026

Timings (IST) : Live session (3rd May) - 10:00 a.m. - 12:00 p.m. 

Live session Duration : 2 hrs

Mode of the Short term course : Online

Course Schedule:

Date Video release
April 10 Session 1
April 17 Session 2
April 24 Session 3
April 30 Session 4
May 3 Live session

Fee for the Short term course

Rs. 1180/- ( Rs. 1000 + 18% GST)

Intended Audience

Doctors, Surgeons, Radiologists and Other specialists who would like to know
about AI and its various applications

Certification Criteria

Attendance and quiz scores are mandatory for getting the certificate

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