
Experts suggest that generative AI models in medicine should be licensed similarly to doctors and nurses to ensure accountability and safety.
Key Details
- 1Academic, policy, and public health leaders propose a licensure framework for medical GenAI models, similar to those for clinicians.
- 2UPenn's Eric Bressman and collaborators published a JAMA Internal Medicine opinion highlighting this approach.
- 3A blog post by UPenn policy expert Julia Hinkley supports a federal digital licensing board overseeing medical AI.
- 4FDA could handle premarket review, while state boards might provide ongoing oversight and coordinate standards.
- 5The initiative aims to address concerns about AI hallucinations, performance drift, and maintain standards and accountability.
Why It Matters
As generative AI’s use grows in radiology and other areas, robust and harmonized regulation is critical to maintain quality, safety, and trust. Introducing a licensing system modeled after medical professions could help set clear expectations and mechanisms for oversight of clinical AI systems.

Source
HealthExec
Related News

•Radiology Business
Medicare May Deny Coverage for AI-Based Brain MRI Tools
A Medicare contractor has proposed denying coverage for AI tools used in brain MRI analysis, citing insufficient evidence and data limitations.

•HealthExec
Russia Launches Nationwide MosMed.AI Platform for Radiology AI Standardization
Russia has launched the MosMed.AI platform to standardize and expand the use of healthcare AI, with a focus on radiology.

•Radiology Business
Preparing for Major Changes in CCTA and AI Imaging Reimbursement
Radiology leaders are urged to understand forthcoming CMS 2026 reimbursement changes for CCTA, FFR-CT, and AI plaque analysis.