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
AI Technique Unveils Previously Hidden MS Gray Matter Lesions on MRI
Researchers developed an AI-enhanced method to detect previously invisible gray matter lesions in multiple sclerosis using MRI.

•Radiology Business
AI Tool Dramatically Reduces Breast MRI Scan Time
A new AI-enabled MRI technique significantly speeds up breast imaging while enhancing image quality and tumor detection.

•AuntMinnie
Study: Computer Vision Models Best LLMs in Chest CT Breast Abnormality Detection
Computer vision models (CVMs) surpass large language models (LLMs) in accurately labeling incidental breast abnormalities on chest CT scans.