Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.

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Bibliographic Details
Title: Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.
Authors: Duggan NM; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA. Electronic address: nmduggan@bwh.harvard.edu., Dias RD; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA., Harari R; Harvard Medical School, USA; Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA., Borges P; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA., Verly RJ; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA., Schwid M; Department of Emergency Medicine, University of Rochester Medical Center, Saunders Research Building, 265 Crittenden Boulevard, Suite 2.100, Box 655C, Rochester, NY 14642, USA., Fischetti CE; Harvard Medical School, USA; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA., Allan-Blitz LT; Harvard Medical School, USA; Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA., Heron D; University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA., Huang CK; Harvard Medical School, USA; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA., Goldsmith AJ; University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA; Department of Emergency Medicine, Lahey Hospital and Medical Center, 41 Burlington Mall Road, Burlington, MA 01805, USA.
Source: The American journal of emergency medicine [Am J Emerg Med] 2026 May; Vol. 103, pp. 57-64. Date of Electronic Publication: 2026 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: W B Saunders Country of Publication: United States NLM ID: 8309942 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8171 (Electronic) Linking ISSN: 07356757 NLM ISO Abbreviation: Am J Emerg Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-8171
DOI:10.1016/j.ajem.2026.01.039