Machine learning and deep learning to improve prevention of anastomotic leak after rectal cancer surgery

doi:10.4240/wjgs.v17.i1.101772

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Jan 27, 2025 (publication date) through Jan 17, 2025

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World Journal of Gastrointestinal Surgery

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1948-9366

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Surg. Jan 27, 2025; 17(1): 101772
Published online Jan 27, 2025. doi: 10.4240/wjgs.v17.i1.101772

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Figure 1 Colonic tissue perfusion per indocyanine green injection. A: White light image; B: Indocyanine green fluorescence image, very well observed; C-F: Images resulting from elaboration of fluorescence data. AI: Artificial intelligence; ICG: Indocyanine green; RS: Rising slope; TR: Time ratio. Citation: Park SH, Park HM, Baek KR, Ahn HM, Lee IY, Son GM. Artificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery. World J Gastroenterol 2020; 26: 6945-6962. ©The Author(s) 2020. Published by Baishideng Publishing Group Inc[36].

Citation: Celotto F, Bao QR, Capelli G, Spolverato G, Gumbs AA. Machine learning and deep learning to improve prevention of anastomotic leak after rectal cancer surgery. World J Gastrointest Surg 2025; 17(1): 101772
URL: https://www.wjgnet.com/1948-9366/full/v17/i1/101772.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i1.101772