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FDA proposes new rules for locked and adaptive AI algorithms

Regulators will struggle to keep up with improvements in AI diagnosis

03-Apr-2019

Key points from article :

FDA proposes a framework to regulate medical devices that rely on AI algorithms.

Outlines two types of algorithms - locked and adaptive.

Locked algorithms provide the same result each time they’re fed the same input.

Adaptive algorithms will change its behaviour using a defined learning process.

Need balance between change that improve software over time and the safety of a patient.

Algorithms retrained with new training data would have to be resubmitted for FDA approval.

New approval would also be needed for system to expand beyond its original scope.

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Food and Drug Administration (FDA)

Ensuring safety of drugs, medical supplies and food which is used daily.

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AI in Healthcare