US FDA Approval of Pediatric Artificial Intelligence and Machine Learning–Enabled Medical Devices

This cross-sectional study analyzes the availability of artificial intelligence and machine learning–enabled devices authorized for children by the US Food and Drug Administration (FDA) and assesses reporting of algorithm validation in the pediatric population.

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Publication Details

Journal
JAMA Pediatrics
Published
2024-12-16
DOI
https://doi.org/10.1001/jamapediatrics.2024.5437
Citations
19
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
21.45
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article

US FDA Approval of Pediatric Artificial Intelligence and Machine Learning–Enabled Medical Devices

Ryan Brewster, Florence T. Bourgeois, Matthew Nagy, Susmitha Wunnava
19 citations
JAMA Pediatrics
Health Systems, Economic Evaluations, Quality of Life
21.45
article

US FDA Approval of Pediatric Artificial Intelligence and Machine Learning–Enabled Medical Devices

Ryan Brewster, Florence T. Bourgeois, Matthew Nagy, Susmitha Wunnava
article en
19 citations

Abstract

This cross-sectional study analyzes the availability of artificial intelligence and machine learning–enabled devices authorized for children by the US Food and Drug Administration (FDA) and assesses reporting of algorithm validation in the pediatric population.

JAMA PediatricsVol. 179(2)
Boston Children's Hospital (US), Harvard University (US)
Zero hunger
Openalex Percentile: Top 1%
Health Systems, Economic Evaluations, Quality of Life
21.45
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