Impact of Artificial Intelligence Triage on Radiologist Report Turnaround Time: Real-World Time Savings and Insights From Model Predictions.

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Bibliographic Details
Title: Impact of Artificial Intelligence Triage on Radiologist Report Turnaround Time: Real-World Time Savings and Insights From Model Predictions.
Authors: Thompson YLE; US FDA / Center for Devices and Radiological Health, White Oak, Maryland. Electronic address: YeeLamElim.Thompson@fda.hhs.gov., Fergus J; University of Chicago, Chicago, Illinois., Chung J; University of Chicago, Chicago, Illinois; Division Chief of Cardiothoracic Imaging at University of California, San Diego Medical Center., Delfino JG; Deputy Director Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, US FDA / Center for Devices and Radiological Health, White Oak, Maryland., Chen W; US FDA / Center for Devices and Radiological Health, White Oak, Maryland., Levine GM; US FDA / Center for Devices and Radiological Health, White Oak, Maryland., Samuelson FW; US FDA / Center for Devices and Radiological Health, White Oak, Maryland.
Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2026 Jan; Vol. 23 (1), pp. 63-73. Date of Electronic Publication: 2025 Sep 29.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101190326 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-349X (Electronic) Linking ISSN: 15461440 NLM ISO Abbreviation: J Am Coll Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-349X
DOI:10.1016/j.jacr.2025.07.033