Artificial intelligence models for survival prediction in colorectal cancer: a systematic review of time-to-event approaches.

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Bibliographic Details
Title: Artificial intelligence models for survival prediction in colorectal cancer: a systematic review of time-to-event approaches.
Authors: Alshamrani AAH; Department of General Surgery, King Abdulaziz Specialist Hospital, Taif, Saudi Arabia., Alghamdi KA; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Alshahrani MF; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Bin Ladnah TMS; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Alshihri AZ; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Bakri KA; Department of General Surgery, Aseer Central Hospital, Aseer Health Cluster, Abha, Saudi Arabia., Alqarni MM; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Abu Shaqah TMH; Department of General Surgery, Aseer Central Hospital, Aseer Health Cluster, Abha, Saudi Arabia., Alshahrani ZA; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Alotaibi AMH; Department of General Surgery, King Abdullah Hospital, Bisha, Saudi Arabia., Al-Hufayyan RS; Department of General Surgery, Aseer Central Hospital, Aseer Health Cluster, Abha, Saudi Arabia., Alassiry LT; College of Medicine, King Khalid University, Abha, Saudi Arabia., Alshehri FIA; College of Medicine, Batterjee Medical College, Asir, Saudi Arabia., Al-Azab M; Faculty of Medicine, Sana'a University, Sana'a, Yemen., Alshahrani SD; Department of Surgery, College of Medicine, University of Bisha, Bisha, Saudi Arabia.
Source: Annals of medicine and surgery (2012) [Ann Med Surg (Lond)] 2026 May 12; Vol. 88 (6), pp. 3556-3563. Date of Electronic Publication: 2026 May 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Country of Publication: England NLM ID: 101616869 Publication Model: eCollection Cited Medium: Print ISSN: 2049-0801 (Print) Linking ISSN: 20490801 NLM ISO Abbreviation: Ann Med Surg (Lond) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2049-0801
DOI:10.1097/MS9.0000000000005157