The National Academy of Medicine released a comprehensive code of conduct for healthcare AI, highlighting governance, oversight, and equity issues.
Key Details
- 1The 206-page AI code of conduct aims to align healthcare AI stakeholders around governance and ethical best practices.
- 2The framework includes a 'Tight-Loose-Tight' model: national alignment, local experimentation, then rigorous evaluation and reporting.
- 3The code is not legally binding but provides essential guideposts for developers, clinicians, and patients.
- 4Ongoing concerns are raised about inadequacy of FDA oversight and regulatory resources, especially as AI models are updated in real-world use.
- 5Recent studies show generative AI can boost radiologist productivity by up to 40% and reduce prostate MRI workload by 20%.
Why It Matters
A robust code of conduct is critical for safe and equitable AI adoption in healthcare, including radiology. Real-world oversight gaps and demonstrated productivity gains mean radiology professionals need to engage with these evolving standards and regulatory considerations.
Source
AI in Healthcare
Related News
•HealthExec
EFF Sues CMS For Transparency on AI-Powered Medicare Prior Authorization
EFF has sued CMS to compel disclosure about the WISeR pilot deploying AI for Medicare prior authorization.
•Radiology Business
AI Diagnostic Tools in Imaging Cited as Top Patient Safety Issue for 2026
ECRI ranks AI diagnostic challenges in imaging as the leading patient safety concern for 2026.
•AuntMinnie
ECR 2026: Radiologists Push for Stronger Evidence and EU Support in Imaging AI
European radiologists at ECR 2026 call for more resources to achieve strong evidence and societal impact for radiology AI, especially under new EU HTA regulation.