Artificial Intelligence for Risk Stratification of Acute Pulmonary Embolism: Perspectives on Clinical Needs, Expanding Toolkit, and Pathways Forward.

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Bibliographic Details
Title: Artificial Intelligence for Risk Stratification of Acute Pulmonary Embolism: Perspectives on Clinical Needs, Expanding Toolkit, and Pathways Forward.
Authors: Henkin S; Gonda Vascular Center, Mayo Clinic, Rochester, Minnesota., Houghton D; Gonda Vascular Center, Mayo Clinic, Rochester, Minnesota., Hunsaker A; Department of Medicine, Brigham and Women's Hospital, Division of Radiology, Harvard Medical School, Boston, Massachusetts., Zuin M; Department of Translational Medicine, University of Ferrara, Ferrara, Italy; Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padova, Padua, Italy., Pfeferman M; Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts., Sato A; Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts., Piazza G; Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Division of Cardiovascular Medicine, Harvard Medical School, Boston, Massachusetts. Electronic address: gpiazza@bwh.harvard.edu.
Source: The American journal of cardiology [Am J Cardiol] 2025 Oct 01; Vol. 252, pp. 40-48. Date of Electronic Publication: 2025 May 26.
Publication Type: Journal Article; Review
Journal Info: Publisher: Excerpta Medica Country of Publication: United States NLM ID: 0207277 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1913 (Electronic) Linking ISSN: 00029149 NLM ISO Abbreviation: Am J Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1913
DOI:10.1016/j.amjcard.2025.05.025