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
AI Model Surpasses Radiologists in Detecting Subtle Hip Fractures
A new AI model outperformed radiologists in identifying difficult-to-detect femoral neck fractures on radiographs.

•AuntMinnie
AI-Driven Whole-Body MRI Biomarkers Aid Myeloma Risk Stratification
AI-powered MRI analysis offers automated risk stratification via body composition in multiple myeloma patients.

•Radiology Business
AI Targets Radiology Residents’ Training Gaps for Personalized Learning
Artificial intelligence can identify gaps in radiology residents' clinical exposure, supporting tailored educational interventions.