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
Pennsylvania Bill Mandates AI Use Disclosure in Healthcare Facilities
Pennsylvania House passes a bill requiring healthcare facilities, including imaging centers, to disclose their use of AI in clinical care.
•Radiology Business
Radiology Societies Urge Patient Safety in FDA Generative AI Regulation
RSNA and ACR call for patient safety and ongoing monitoring as the FDA considers regulations for generative AI in radiology.
•AuntMinnie
HPI Rebuts AI's Supposed Impact on Radiology Workforce Shortage
Harvey L. Neiman HPI challenges recent claims that AI has lessened the radiology workforce burden, citing evidence of rising workloads and imaging volumes.