New framework for medical AI overlooks patient rights in governance design
Researchers propose a classification system for medical AI based on autonomy, automation and scope, but the model focuses on clinicians, manufacturers and regulators, leaving patient rights largely unaddressed.
Kyle Lam and co-authors suggest categorising medical artificial intelligence by three dimensions—autonomy, automation and operational scope—to guide regulation and liability. While the proposal mentions informed consent, it primarily assigns responsibility to health-care providers, device makers and oversight bodies. The authors do not embed patient protections as a core element of the framework. Critics argue this omission could limit the ability of patients to influence AI deployment in clinical settings.
Why it matters
Without patient-focused rules, medical AI could be deployed without adequate safeguards for those it treats.
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