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
•AuntMinnie
AI’s Path in Radiology Hinges on Tech, Policy, and Human Insight
SIIM-CAIMI keynote highlights that AI's future in radiology depends on synchronized advances in technology, regulation, finance, and culture.
•Radiology Business
Meta Funds Ohio State’s Radiology AI Innovation Projects
Meta will fund Ohio State researchers to explore AI-driven advancements in radiology, including chest X-ray reporting and disease prediction.
•AuntMinnie
SIIM-CAIMI Leaders Discuss Key Trends in Imaging AI Deployment
SIIM-CAIMI program chairs highlight AI's transition from algorithm evaluation to real-world implementation in medical imaging.