| For: | 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 [PMID: 39872776 DOI: 10.4240/wjgs.v17.i1.101772] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v17/i1/101772.htm |
| Number | Citing Articles |
| 1 |
Jiang-Peng Zhu, Yu-Tong Chen, Guang-Yao Li. From static thresholds to dynamic trends: Reassessing serum calcium in anastomotic leakage prediction. World Journal of Gastrointestinal Surgery 2025; 17(10): 110368 doi: 10.4240/wjgs.v17.i10.110368
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| 2 |
Nicolás Idárraga Ruiz, Israel Cardona Salazar, Lincoln Xavier Naranjo Palacio, Carolina Agudelo Agudelo, Alfonso Miguel Ledesma Parra, Julio Cesar Flores Rodriguez. Accuracy and Reliability of Artificial Intelligence in Surgical Decision-Making: A Literature Review. Cureus 2025; doi: 10.7759/cureus.95337
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| 3 |
В. В. ВАСИЛІВ, В. Д. СКРИПКО. КОМПЛЕКСНА ОЦІНКА ФАКТОРІВ РИЗИКУ НЕСПРОМОЖНОСТІ КОЛОРЕКТАЛЬНИХ АНАСТОМОЗІВ У ХІРУРГІЇ РАКУ ПРЯМОЇ КИШКИ. Шпитальна хірургія. Журнал імені Л. Я. Ковальчука 2025; (3): 114 doi: 10.11603/2414-4533.2025.3.15665
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| 4 |
Renee M. Cholyway, William C. Kethman. Using the Electronic Health Record and Artificial Intelligence to Guide Clinical Decision-Making. Clinics in Colon and Rectal Surgery 2025; doi: 10.1055/a-2760-7739
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| 5 |
Kevin A. Chen, Shah Feroz, Stefan D. Holubar. The Role of Perioperative Artificial Intelligence in Colon and Rectal Surgery. Clinics in Colon and Rectal Surgery 2025; doi: 10.1055/a-2769-1052
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| 6 |
Chao Jing, Kun Liu. Taming colonic anastomotic leakage: Wisdom from the ancient Chinese legend of Yu the Great. World Journal of Gastrointestinal Surgery 2025; 17(12): 113423 doi: 10.4240/wjgs.v17.i12.113423
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