AIIMS–WHO Workshop Deliberates on Structured Integration of Artificial Intelligence in Medical Education

New Delhi: The All India Institute of Medical Sciences (AIIMS), New Delhi, in collaboration with the World Health Organization (WHO), organised a high-level multi-stakeholder workshop on 18 February 2026 to deliberate on the structured integration of Artificial Intelligence (AI) into undergraduate and postgraduate medical education.

The workshop was organised by Dr Deepika Mishra and Dr Varun Surya, Faculty, AIIMS New Delhi, in coordination with Dr Sameer Pujari, Lead– Artificial Intelligence, Digital Health and Innovation, WHO, along with WHO experts working in digital health and AI governance.

The deliberations brought together senior clinicians, public health leaders, AI specialists, legal experts, education policymakers, and representatives from national and international institutions to examine the growing role of artificial intelligence across healthcare delivery, biomedical research, and public health systems, and the corresponding need to equip future healthcare professionals with structured AI literacy.

Participants emphasised that as AI-enabled tools increasingly influence diagnostics, clinical workflows, and health system management, medical education must prepare students to critically evaluate such technologies, understand their limitations, and apply them responsibly while safeguarding patient safety and ethical standards.

The discussions reflected AIIMS New Delhi’s broader commitment to modernising medical education in alignment with emerging digital health priorities. Institutional leadership at AIIMS has supported the development of structured AI course modules for undergraduate MBBS and BDS students, with the objective of embedding foundational AI literacy within formal medical training.

The approach recognises artificial intelligence as a clinical decision-support tool that complements medical judgment and reinforces core medical values such as accountability, professionalism, and patient-centred care.

During the workshop, participants reached broad consensus on the need for a structured and phased framework for AI education across health professions. Deliberations highlighted the importance of introducing foundational AI concepts early in undergraduate training, followed by advanced learning opportunities at the postgraduate level, with integration of ethics, data privacy, regulatory guidance, and governance frameworks aligned with national priorities and WHO recommendations.

Experts underscored that AI education should extend beyond technical familiarity to cultivate critical appraisal skills, ethical judgment, and responsible clinical application.

WHO representatives emphasised that strengthening AI literacy among health professionals is essential for ensuring that digital transformation in healthcare remains human-centred, safe, and equitable.

The importance of interdisciplinary and case-based learning approaches was highlighted, encouraging collaboration between clinicians, public health experts, technologists, and policymakers to address real-world implementation challenges.

Participants also stressed the need for validation standards, benchmarking mechanisms, and oversight structures to ensure safe and effective deployment of AI-enabled tools in clinical settings.

The workshop further recommended the development of a collaborative roadmap to operationalise curriculum design, faculty development, and phased implementation pathways.

Emphasis was placed on building faculty capacity, creating shared educational resources, promoting interdisciplinary research and training opportunities, and establishing mechanisms for continuous quality assurance. Participants highlighted the importance of aligning implementation efforts with national regulatory bodies and global digital health priorities.

The workshop concluded with a shared understanding that structured AI literacy is indispensable for preparing a future-ready healthcare workforce. The initiative marks an important step in aligning India’s medical education ecosystem with global digital health priorities and strengthening institutional readiness for the responsible adoption of artificial intelligence in healthcare delivery.