AI Made Simple : An IRIA initiative
June 29, 2026 2026-08-26 12:22AI Made Simple : An IRIA initiative
3-Minute AI Clinics
One concept. Three minutes. Clear, practical, radiology-focused AI learning for every IRIA member.
Episode 02: What is Machine Learning?
Speaker: Dr. Amit Kharat
Discover what machine learning is, how computers learn from data, and why this technology is transforming the future of radiology.
Episode 03: How AI Learns from Medical Images
Speaker: Dr. Arjun Kalyanpur
Teleradiology Pioneer • AI Innovator
Understand how artificial intelligence learns from data and the fundamental principles that enable AI systems to recognize patterns and support clinical decision-making in radiology.
Episode 04: What is Ground Truth?
Speaker: Dr. Sarang Ingole
Radiologist • AI Educator
Discover why trustworthy AI begins with high-quality ground truth, and how radiologists play a vital role in creating the accurate data that powers AI.
Episode 05: Why Data Matters More Than Algorithms
Speaker: Dr. Anjali Agarwal
Radiologist • AI Educator
Explore why the quality, diversity, and relevance of data have a greater impact on AI performance than even the most advanced algorithms.
Episode 06: How Much Data Does AI Need?
Speaker: Dr. Praveen Shastry
Radiologist • AI Innovator
Learn why AI doesn’t simply need more data—it needs high-quality, diverse, and representative data to perform reliably in real-world clinical practice.
Episode 07: Can AI learn without labels?
Speaker: Dr. Devasenathipathy Kandasamy
Episode 08: Why AI Sometimes Gets It Wrong?
Speaker: Dr. Bagyam Raghavan
Senior Radiologist • Professor of Practice, IIT Madras
Understand why AI can make mistakes, the factors that influence its predictions, and why human oversight remains essential in clinical AI.
Episode 09 : Ultimate Radiology Mythbuster
Speaker: Dr. Suvrankar Datta
Simons Ashoka Early Career Fellow • Faculty Fellow, Koita Centre for Digital Health, Ashoka University
Challenge some of the common myths surrounding AI in radiology and discover what the evidence really tells us about its role in clinical practice.
