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Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli.

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Bibliographic Details
Title: Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli.
Authors: Sorin V; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota. Electronic address: Sorin.Vera@mayo.edu., Korfiatis P; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Langer SG; Chair, Informatics Division, Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Hahn LD; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Bratt AK; Chair, Thoracic Division, Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Cook CJ; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Sobek JD; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Butler CL; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Wald C; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, ACR Informatics Commission; Chair, ACR Board of Chancellors., Erickson BJ; Director, Mayo Clinic AI Lab, Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Collins JD; Chair, Cardiovascular Division, Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota. Electronic address: Collins.Jeremy@mayo.edu.
Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2026 Jun; Vol. 23 (6), pp. 965-972. Date of Electronic Publication: 2025 Dec 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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.2025.12.028