Updated Course Outline
ABAIM Artificial Intelligence in Medicine — Introductory Mini Course
India Edition · Four-Hour Condensed Curriculum
Adapted from the 14-hour ABAIM
Introductory Course, this mini course preserves the core architecture of the full curriculum while focusing
on momentum, clinical relevance, and India-contextualised AI adoption.
40 min
1. Foundations of AI
Definitions that survive the hype, AI/ML/deep learning terminology, history of AI in medicine, and why
medicine can no longer lag behind.
60 min
2. Data Science, Machine & Deep Learning
Healthcare data, supervised/unsupervised/reinforcement learning, neural networks, CNNs, AUC, sensitivity,
specificity, PPV, calibration, and external validation.
40 min
3. Generative AI, LLMs & Agentic AI
Transformers, large language models, prompting for clinical work, hallucination, grounding,
retrieval-augmented generation, and the move from chatbots to agents.
35 min
4. Clinician Cognition & Clinical Applications
The clinician–AI dyad, cognitive bias, automation bias, deskilling, and a lightning tour across
radiology, cardiology, pathology, ophthalmology, critical care, and operations.
30 min
5. Implementation, Ethics & Governance
Bias, equity, validation, FDA SaMD paradigm, EU AI Act, ABDM, ICMR ethical guidance, algorithmovigilance,
and what an AI-ready hospital looks like.
15 min
Road Ahead + Q&A
Multimodal foundation models, digital twins, ambient intelligence, open discussion, and next steps toward
the full ABAIM educational certification pathway.
Four-Hour Schedule
Condensed, high-yield learning arc
Each section is designed to make participants conversational in AI, curious for more, and clear on the path
toward deeper ABAIM certification.
Pre-courseOne-page glossary of 25 essential AI terms shared with
registration.
In-courseSingle slide deck with interactive polls to sustain
engagement.
Post-courseReading list, recording access, and ABAIM
certification pathway information.
CertificateAll participants will receive a Certificate of
Completion.