Early Recalls and Clinical Validation Gaps in Artificial Intelligence–Enabled Medical Devices

This cross-sectional study examines whether lack of clinical validation and publicly traded manufacturer status were associated with recalls of artificial intelligence–enabled medical devices that had been cleared by the US Food and Drug Administration.

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Publication Details

Journal
JAMA Health Forum
Published
2025-08-22
DOI
https://doi.org/10.1001/jamahealthforum.2025.3172
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

Early Recalls and Clinical Validation Gaps in Artificial Intelligence–Enabled Medical Devices

Sandro Sandri, Joshua M. Sharfstein, Joseph S. Ross, Tinglong Dai et al.
3 citations
JAMA Health Forum
Artificial Intelligence in Healthcare and Education
1.96
article

Early Recalls and Clinical Validation Gaps in Artificial Intelligence–Enabled Medical Devices

Sandro Sandri, Joshua M. Sharfstein, Joseph S. Ross, Tinglong Dai, Branden Lee, Patrick Kramer, Crystal Favorito, Ritika Chanda, Olivia Nasef
article en
3 citations

Abstract

This cross-sectional study examines whether lack of clinical validation and publicly traded manufacturer status were associated with recalls of artificial intelligence–enabled medical devices that had been cleared by the US Food and Drug Administration.

JAMA Health ForumVol. 6(8)
Johns Hopkins University (US), Georgetown University (US), Johns Hopkins Medicine (US), Yale University (US), Yale New Haven Health System (US)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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