| 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/1948-9366/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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