The Faculty Development Programme (FDP) on “Decoding the Black Box: Explainable AI in Healthcare and Medical Diagnostics” aims to provide participants with an understanding of emerging Artificial Intelligence (AI) technologies and their applications in healthcare and medical diagnostics. The programme will explore the principles and techniques of Explainable AI (XAI) to develop transparent, interpretable, reliable, and trustworthy AI-driven healthcare systems. Key areas will include deep learning architectures, interpretability methods, model-agnostic tools such as LIME and SHAP, brain–computer interfaces, disease prognosis, privacy-preserving AI, Generative AI and Large Language Models (LLMs), medical natural language processing, fairness and bias mitigation, regulatory standards, and ethical AI in medical image analysis.
Faculty members and research scholars interested in the above areas are encouraged to participate in the FDP.
Please find the Registration link
https://forms.easebuzz.in/register/SRMAPIA9oJ/FDPFIVEDAY
Last Date for Registration: 25 October 2026
Important Information:
1.The Google Meet link will be shared with all registered participants prior to the programme.
2. A Participation Certificate will be issued to participants who attend the sessions and complete the required feedback form.
We encourage faculty members, research scholars, and postgraduate students to make use of this opportunity and actively participate in the programme.