The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
Descripción general
Resumen del artículo
The authors identified 64 FDA-approved medical devices and algorithms using AI/ML, with only 29 explicitly mentioning AI/ML in their official announcements. Radiology and Cardiology are the leading specialties for these technologies, and the authors created an open-access database to track and categorize these devices.
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Scientists found that many smart computer helpers are being used by doctors to look inside your body, especially hearts and bones. They made a special list of all the approved ones so everyone knows they're safe to use.
Posibles conflictos de intereses
None identified
Limitaciones identificadas
Explicación de la calificación
This paper provides a valuable resource by creating a database of FDA-approved AI/ML-based medical devices and algorithms. While the methodology has limitations due to reliance on publicly available information and the FDA's website structure, the open-access database and its potential for community contributions represent a significant step towards greater transparency and understanding of AI/ML in healthcare. The focus on FDA approvals ensures a level of regulatory oversight and validity. It also appropriately highlights the challenges posed by the rapid growth of this technology and the limitations of current regulatory practices.
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