Dr. Paul Chang shares his insights on the role of foundation models and agentic AI in radiology at RSNA 2025.
Key Details
- 1Dr. Paul Chang, from the University of Chicago, is featured in an RSNA 2025 interview.
- 2He discusses the current maturity of AI in radiology, referencing the 'Four Horsemen of AI immaturity.'
- 3Highlights include the potential and value of foundation models in improving radiology workflows.
- 4The concept of 'agentic AI' is explored as an emerging trend in imaging AI.
Why It Matters
Chang's perspective helps radiology professionals understand where AI stands today, especially regarding next-generation AI technologies such as foundation models and agentic AI, which could shape future clinical workflows and impact practice readiness.
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.