The Role of Artificial Intelligence and Machine Learning Applications in Emergency Surgery: A Systematic Review of Diagnostic Accuracy and Clinical Outcomes.

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Bibliographic Details
Title: The Role of Artificial Intelligence and Machine Learning Applications in Emergency Surgery: A Systematic Review of Diagnostic Accuracy and Clinical Outcomes.
Authors: Baqar S; General Surgery, North Middlesex University Hospital, London, GBR., Hamed AS; Colorectal Surgery, Aneurin Bevan University Health Board, Caerleon, GBR.; Faculty of Medicine and Surgery, Benghazi University, Benghazi, LBY., Elbreki I; Anesthesiology, Barnet Hospital, Royal Free London NHS Foundation Trust, London, GBR., Mohamed T; Gastroenterology, Royal Devon and Exeter Hospital, Royal Devon University Healthcare NHS Foundation Trust, Devon, GBR., Awan B; General Surgery, London North West University Healthcare NHS Trust, Harrow, GBR., Elsaigh M; General and Emergency Surgery, Royal Cornwall Hospital, Truro, GBR.
Source: Cureus [Cureus] 2025 Jun 05; Vol. 17 (6), pp. e85386. Date of Electronic Publication: 2025 Jun 05 (Print Publication: 2025).
Publication Type: Journal Article; Review
Journal Info: Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2168-8184
DOI:10.7759/cureus.85386