| 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] |
|---|---|
| URL: | https://www.wjgnet.com/1949-8470/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
|
| 2 |
Francesco Celotto, Quoc Riccardo Bao, Gaya Spolverato. Artificial intelligence in gastrointestinal surgical oncology: from prediction models to clinical decision support. Artificial Intelligence Surgery 2026; 6(3) doi: 10.20517/ais.2026.57
|
| 3 |
Ozan Can Tatar, Murat Özdamar, Mehmet Fatih Çepil, Ceyhun Mestçi, Abdullah Güneş, Özkan Subaşı, Murat Burç Yazıcıoğlu. Dynamic Machine Learning Prediction of Colorectal Anastomotic Leak Using Preoperative Factors and Serial Postoperative Biomarker Trajectories. Surgical Innovation 2026; doi: 10.1177/15533506261501663
|
| 4 |
Nikoleta Koliou, Lazaros Kourtidis, Panagis M. Lykoudis, Ioannis Karavolias, Stavriana Charalampous, Georgios D. Ayiomamitis, Pinelopi Kouki, Christos A. Iordanou. Artificial Intelligence and Large Language Models in Surgical Shared Decision-Making and Informed Consent: A Narrative Review. Healthcare 2026; 14(19) doi: 10.3390/healthcare14193331
|
| 5 |
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
|
| 6 |
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) doi: 10.11603/2414-4533.2025.3.15665
|
| 7 |
Songlin Sun, Feng Long, Bowen Su, Jiahan Chen, Yihuan Luo, Yang Zhong, Guangjun Zhang. The gut microbiome in colorectal anastomotic leakage: from mechanisms to precision. Frontiers in Medicine 2026; 13 doi: 10.3389/fmed.2026.1781458
|
| 8 |
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 2026; 39(05) doi: 10.1055/a-2760-7739
|
| 9 |
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 2026; 39(03) doi: 10.1055/a-2769-1052
|
| 10 |
Tengyi Peng, Qiqi Zhang, Xingrong Lai, Zhen Pan, Bin Chen, Zhicheng Zhuang, Shaoqing Zheng, Xing Liu, Jinfu Zhuang, XingRong Lu, Guoxian Guan, Shoufeng Li. Metabolic dynamic score and machine learning: a novel approach to predicting pathological complete response in rectal cancer after neoadjuvant chemoradiotherapy. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1910909
|
| 11 |
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
|
| 12 |
Alberto Patriti, Paola Antonella Greco, Alessio Pigazzi. Enhancing Surgeons’ Cognitive Performance in Colorectal Surgery: A Narrative Review. Journal of Laparoendoscopic & Advanced Surgical Techniques 2026; 36(4) doi: 10.1177/10926429261421999
|