An analysis found that out of 1,357 AI-enabled medical devices cleared by the FDA, only three were actually tested for their effect on patient health outcomes.
Key Details
- 11,357 FDA-cleared AI medical devices were analyzed.
- 2Only 34 devices had associated registered clinical trials.
- 3Just 3 devices were tested for patient-centered outcomes like survival or quality of life.
- 4Most studies excluded groups like pregnant women, older adults, and non-English speakers.
- 5Current FDA clearance requires 'substantial equivalence,' not proven patient benefit.
- 6Authors propose new frameworks for requiring outcome-based evidence across diverse populations.
Why It Matters
Most AI devices, including those used in imaging and diagnostic support, are authorized without proof that they improve real-world patient outcomes. This policy gap is significant for radiology, as clinical validation is crucial for responsible AI deployment and patient safety.
Source
EurekAlert
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