Craig Coombs and Qiang Kou, Nyquist Data
The FDA released a list of cleared or approved artificial intelligence and machine learning-enabled devices in September, documenting much of the agency’s work in the innovative area of AI/ML.
Extracting this information from the FDA’s decades-old database is labor-intensive at best — and often impossible. Despite the time spent by the FDA to make this new list, a lack of even text-based searching capability makes the list itself cumbersome and time-consuming to review.
Wouldn’t it be better if there was an AI resource that could quickly compile a list of FDA’s AI/ML clearances and approvals, allowing searches in seconds rather than hours?
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