Comparative Effectiveness of Artificial Intelligence Versus Conventional Methods for Detecting Peritoneal Metastasis in Colorectal Cancer: A Systematic Review.

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Title: Comparative Effectiveness of Artificial Intelligence Versus Conventional Methods for Detecting Peritoneal Metastasis in Colorectal Cancer: A Systematic Review.
Authors: Elsaigh M; Emergency Surgery, Northwick Park Hospital, London North West University Healthcare NHS Trust, London, GBR., Baqar S; General Surgery, Royal United Hospitals Bath NHS Foundation Trust, Bath, GBR., Awan B; General Surgery, Northwick Park Hospital, London North West University Healthcare NHS Trust, London, GBR., Saleh OS; Surgery, Brigham and Women's Hospital, Boston, USA., Hesham Gamal M; Pharmacology and Therapeutics, Faculty of Pharmacy, Tanta University, Tanta, EGY., Abara N; General Surgery, Royal Cornwall Hospitals NHS Trust, Truro, GBR., Hawkins A; General Surgery, Royal Cornwall Hospital, Truro, GBR., Beqo BP; General Surgery, Boston Children's Hospital, Harvard Medical School, Boston, USA.
Source: Cureus [Cureus] 2025 Oct 27; Vol. 17 (10), pp. e95484. Date of Electronic Publication: 2025 Oct 27 (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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  Data: Comparative Effectiveness of Artificial Intelligence Versus Conventional Methods for Detecting Peritoneal Metastasis in Colorectal Cancer: A Systematic Review.
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        Value: 10.7759/cureus.95484
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      – TitleFull: Comparative Effectiveness of Artificial Intelligence Versus Conventional Methods for Detecting Peritoneal Metastasis in Colorectal Cancer: A Systematic Review.
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              Text: 2025 Oct 27
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