Peer-reviewedCC BY 4.0JAMA Network Open
Updated AI and/or Machine Learning–Based Medical Devices Cleared Through the FDA 510(k) Pathway
- 1Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAe, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France
- 2Centre d’Epidémiologie Clinique, Assistance Publique–Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France
- 3Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, New York
Abstract
This cross-sectional study investigated characteristics and reporting of updates to artificial intelligence (AI)/machine learning–based medical devices cleared through the Food and Drug Administration (FDA) 501(k) pathway.
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BibTeX
@article{zogka2026updated,
title = {{Updated AI and/or Machine Learning–Based Medical Devices Cleared Through the FDA 510(k) Pathway}},
author = {Maria Zogka and Melissa Amyx and Philippe Ravaud and Viet-Thi Tran},
journal = {JAMA Network Open},
year = {2026},
month = nov,
doi = {10.1001/jamanetworkopen.2026.41071},
url = {https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2856263},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Updated AI and/or Machine Learning–Based Medical Devices Cleared Through the FDA 510(k) Pathway
AU - Maria Zogka
AU - Melissa Amyx
AU - Philippe Ravaud
AU - Viet-Thi Tran
PY - 2026
DA - 2026/11/05
JO - JAMA Network Open
DO - 10.1001/jamanetworkopen.2026.41071
UR - https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2856263
AB - This cross-sectional study investigated characteristics and reporting of updates to artificial intelligence (AI)/machine learning–based medical devices cleared through the Food and Drug Administration (FDA) 501(k) pathway.
SN - 2574-3805
ER -