How to regulate evolving AI health algorithms. World View from DBatesSafety BrighamWomens, as part of our new series on Rethinking Evidence in Medicine.
There is great excitement about the potential of AI to improve healthcare in a variety of ways, but such algorithms evolve rapidly and sometimes learn continuously.
An approved AI algorithm can be locked but this has a disadvantage, as it may perform worse in sites outside of where it was trained, and a locked model that cannot learn will not improve.
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