Master AI in Medicine. Lead the Transformation.
CCAIM is a structured, physician-led certification program that equips clinicians with the literacy, judgment, and practical skill to evaluate, deploy, and shape Artificial Intelligence in medicine.
A certification built on clinical judgment, not hype.
CCAIM is the flagship certificate course of the Indian College of Artificial Intelligence in Medicine (ICAIM). It is designed for practicing physicians who need rigorous, evidence-based understanding of how AI works, where it fails, and how to deploy it responsibly in clinical practice.
The program moves beyond buzzwords. Each module pairs foundational concepts with real clinical use cases, regulatory context, and critical appraisal — so you finish able to distinguish a validated tool from a marketing claim.
Built for clinicians ready to lead.
CCAIM is designed for medical professionals across career stages who want to move from passive AI users to informed decision-makers, evaluators, and co-creators.
Practicing Physicians
Clinicians integrating AI tools into diagnosis, decision support, and workflow — and who need to appraise them critically.
Specialists & Consultants
Endocrinologists, intensivists, radiologists, and others seeking specialty-specific applications and research depth.
Academic & Research Clinicians
Faculty and researchers publishing in AI-adjacent fields who need frameworks for study design, peer review, and governance.
14 modules. Clinical throughout.
The curriculum is sequenced from foundations to advanced clinical applications and governance. Each module includes recorded lectures, live Q&A, assigned reading, and MCQ assessment.
Foundations of AI in Medicine
Core concepts, terminology, and the landscape of clinical AI today.
Machine Learning Basics for Clinicians
Supervised, unsupervised, and reinforcement learning — without the math intimidation.
Data in Healthcare
EHRs, imaging, wearables, and the data quality problems that break models.
Clinical Decision Support Systems
How CDSS integrates with workflow — and why many fail at the bedside.
AI in Medical Imaging
Radiology, pathology, ophthalmology — where AI has matured and where it hasn't.
Natural Language Processing & LLMs
From clinical note extraction to LLM-assisted documentation and decision support.
Predictive Analytics & Risk Models
Model development, calibration, discrimination, and the limits of prediction.
Validation & Critical Appraisal
Reading AI papers like a methodologist. Frameworks: TRIPOD-AI, CONSORT-AI, DECIDE-AI.
Regulation & Approval Pathways
CDSCO, FDA, CE-MDR, and emerging Indian frameworks for AI as a medical device.
Ethics, Bias & Equity
Algorithmic bias, dataset representation, and the ethics of deployment at scale.
Interoperability & Digital Health Infrastructure
FHIR, HL7, ABDM, and making AI work inside real Indian health systems.
AI in Research & Publishing
Using AI as a writing assistant — not a truth engine. ICMJE, COPE, WAME guidance.
Emerging Frontiers
Agentic AI, digital twins, CGM intelligence, closed-loop systems, wearables.
Specialty Cohort: Critical Care
ICU-specific applications, regional trends, and future outlook. Rotating specialty tracks each cohort.
Taught by clinicians who practice what they teach.
CCAIM faculty are practicing physicians, researchers, and domain experts active in AI governance, publishing, and deployment.
Dr. Amit Kumar Dey
Course Director, CCAIM · Editor-in-Chief, IJAIM
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Transparent pricing. Concessions for early applicants.
All fees are inclusive of course materials, assessments, and certification. GST as applicable.
For applicants who enroll before the early-bird deadline.
- All 14 modules
- Live sessions + recordings
- Capstone review
- ICAIM certificate
Full program access with all live sessions and capstone.
- Everything in Early Bird
- 1:1 mentor session
- Specialty cohort placement
- Alumni community access
For hospitals, medical colleges, and training programs enrolling cohorts of 5+.
- Group pricing
- Custom scheduling
- Department-specific tracks
- Dedicated liaison
Ready to lead the AI transformation in your practice?
Applications are reviewed on a rolling basis. Limited seats per cohort ensure meaningful faculty interaction and peer learning.
Questions? Write to office@doctors-ai.org
