Post Graduate Diploma in AI Imaging for Healthcare Professionals
- AI applications in X-ray, CT, MRI, Ultrasound & PET
- Clinical use cases: TB, Stroke, Tumor & Retinal diseases
- Radiology workflows (PACS, reporting, validation)
- AI model evaluation, bias, and explainability
- Ethics, regulation & patient safety
Artificial Intelligence is rapidly transforming medical imaging — from screening chest X-rays to supporting stroke triage, tumor assessment, and retinal disease detection. As AI tools increasingly enter clinical workflows, it is essential for doctors to understand how these systems work, where they add value, and where clinical judgment must remain central.
The PGD in AI Imaging for Healthcare Professionals is a clinically grounded program designed specifically for doctors. It focuses on practical understanding, patient safety, and responsible use of AI in imaging, without requiring prior coding or engineering background.
This program equips doctors to confidently engage with AI-assisted imaging tools while maintaining high standards of clinical care.
About the Course
The Post Graduate Diploma in AI Imaging for Healthcare Professionals is a clinically grounded program designed specifically for doctors. It covers the complete journey from image acquisition to AI-assisted interpretation across X-ray, CT, MRI, Ultrasound, and PET. AI concepts are integrated into real radiology workflows, including PACS and reporting systems. The focus remains on direct relevance to everyday clinical decision-making.
The course emphasizes clinical interpretation, patient safety, and responsible oversight of AI tools rather than software development. Doctors learn how imaging AI models are trained, evaluated, and validated, and why bias, failure modes, and over-reliance on accuracy can be risky in healthcare. With dedicated coverage of ethics, explainability, data privacy, and regulation, the program prepares doctors to apply AI confidently and safely in clinical practice
Eligibility
- MBBS & Above and Alternative Medicine.
Curriculum
- 8 Sections
- 40 Lessons
- 6 Weeks
- Module 1: Medical Imaging Foundations & Clinical Context6
- 1.1Imaging modalities: X-ray, CT, MRI, Ultrasound, PET
- 1.2Image formation principles (conceptual)
- 1.3Resolution, contrast, noise & artifacts
- 1.4Clinical use cases: 1) TB detection (X-ray) 2) Stroke evaluation (CT) 3) Tumor imaging (MRI)
- 1.5Radiology workflow: 1) Order → Scan → PACS → Reporting 2)PACS, RIS, HIS overview
- 1.6Where AI helps vs where AI is risky
- Module 2: Medical Imaging Data, DICOM& Annotation6
- Module 3: Python & Imaging Libraries for Medical AI5
- Module 4: Deep Learning for Medical Imaging5
- Module 5: Industry-Grade Imaging Pipelines5
- Module 6: Model Evaluation, Validation & Explainability4
- Module 7: Ethics, Regulation & Safety in Medical Imaging AI5
- Module 8: Virtual Internship & Capstone Project4
Post Graduate Diploma in AI Imaging for Healthcare Professionals
- Application Closes On - 10th Feb 2026
No PDF available for this course.
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