NBEMS Launches Online Programme on Artificial Intelligence in Medical Education

Overview of the Programme

New Delhi: The National Board of Examinations in Medical Sciences (NBEMS) has introduced an Online Programme on Artificial Intelligence (AI) in Medical Education. This initiative invites applications from postgraduate doctors, faculty members, trainees, and alumni, with the programme set to commence in January 2026. Conducted entirely online, the programme aims to equip medical professionals with the necessary skills to critically assess, responsibly utilize, and safely incorporate AI tools in clinical settings, education, and health systems within India.

Importance of AI in Healthcare

Artificial Intelligence is rapidly reshaping healthcare delivery, medical education, and health systems. This programme is specifically designed to help postgraduate medical trainees and faculty members understand, evaluate, and effectively integrate AI tools into their clinical practices and academic environments. It emphasizes patient safety, ethical standards, and professional accountability in the Indian healthcare landscape.

Eligibility and Certification

Who Can Apply?

Eligible participants include:
1. NBEMS ongoing trainees.
2. NBEMS alumni (those who qualified from the 2020 session onward).
3. Faculty members from NBEMS-accredited departments.
4. Other registered medical professionals interested in AI applications in healthcare and medical education.

Certification Criteria

Participants must attend at least 75% of live classes, with attendance recorded at both the beginning and end of each session. Successful completion of the online assessment module is required to receive a digital Course Completion Certificate.

Joining the Online Classes

Class Registration and Attendance

The class schedule will be available on the NBEMS website. To join a class, participants must click the “Join the Class” link for the respective session. This link will be active 30 minutes before the class starts and will remain available for 30 minutes after the scheduled time. After each class, participants are required to complete a brief questionnaire and provide feedback to confirm their attendance. The feedback link will be accessible for one hour following the class.

Attendance Requirements

Attendance will only be considered valid if marked at both the beginning and end of the class.

Programme Key Features

1. Live online sessions focusing on clinical applicability, ethics, patient safety, and accountability, comprising 20 modules over a period of six months starting January 2026.
2. No prior technical or programming background is necessary.
3. There is no fee for joining the course.
4. Instruction from esteemed faculty from institutions such as Mayo Clinic, Harvard University, University of Oxford, IISc Bengaluru, IIM Lucknow, and other reputable organizations.

Course Objectives

By the conclusion of the programme, participants will be able to:
1. Understand essential AI concepts relevant to healthcare without requiring technical expertise.
2. Critically evaluate AI tools, models, and scientific literature concerning clinical validity, utility, bias, and patient safety.
3. Apply sound clinical judgment to assess the appropriateness of AI use.
4. Recognize ethical, legal, privacy, and cybersecurity considerations related to AI in Indian healthcare.
5. Integrate AI outputs into clinical decision-making through outcome-action pairing and patient-centered reasoning.
6. Collaborate effectively in multidisciplinary AI teams, contributing as clinical domain experts.
7. Demonstrate professionalism, accountability, and transparency in utilizing AI-assisted tools in patient care, education, and research.

Live Attendance Requirement

1. Attendance at live classes is mandatory for eligibility for the course completion certificate.
2. Recorded sessions will not count toward attendance or certification.

Professional Responsibility

Participants are expected to maintain high standards of professional conduct, ethical practice, and academic integrity while engaging with AI tools discussed in the programme. The emphasis is on AI as a clinical support system rather than a substitute for professional medical judgment.

Additional Information

To view the official notice regarding this programme, click the links below:
Notice Link 1
Notice Link 2