Dr. Nabile Safdar outlines best practices for incorporating AI into radiology education at SIIM 2024.
Key Details
- 1Dr. Safdar is vice chair of imaging informatics at Emory University.
- 2Discussion occurred at the SIIM annual meeting in Portland on May 22, 2025.
- 3The focus was on effective strategies to integrate AI technology into radiology training programs.
Why It Matters
As AI becomes increasingly prevalent in radiology, clear strategies and best practices for training radiologists in the use of these tools are crucial for clinical adoption. Insights from leaders in imaging informatics help inform curriculum development and standardisation across institutions.

Source
AuntMinnie
Related News

•Radiology Business
NVIDIA Envisions Autonomous AI Agents Transforming Radiology
NVIDIA foresees a major shift in radiology toward autonomous AI agents and imaging systems that could revolutionize patient care.

•Cardiovascular Business
Deep Learning AI Model Detects Coronary Microvascular Dysfunction Via ECG
A new AI algorithm rapidly detects coronary microvascular dysfunction using ECGs, with validation incorporating PET imaging.

•AuntMinnie
Debate at RSNA 2025 Examines If AI Is Ready for Autonomous Chest X-ray Reads
Experts at RSNA 2025 debated whether AI is ready for fully autonomous interpretation of chest x-rays, concluding that while technical progress is evident, significant challenges remain.