New AI Code of Conduct and Oversight Challenges in US Healthcare

The National Academy of Medicine released a comprehensive code of conduct for healthcare AI, highlighting governance, oversight, and equity issues.

Key Details

• The 206-page AI code of conduct aims to align healthcare AI stakeholders around governance and ethical best practices.
• The framework includes a 'Tight-Loose-Tight' model: national alignment, local experimentation, then rigorous evaluation and reporting.
• The code is not legally binding but provides essential guideposts for developers, clinicians, and patients.
• Ongoing concerns are raised about inadequacy of FDA oversight and regulatory resources, especially as AI models are updated in real-world use.
• Recent 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.

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