| For: | Yuan JH, Jin YM, Xiang JY, Li SS, Zhong YX, Zhang SL, Zhao B. Machine learning-based prediction of postoperative mortality risk after abdominal surgery. World J Gastrointest Surg 2025; 17(4): 103696 [PMID: 40291872 DOI: 10.4240/wjgs.v17.i4.103696] |
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| URL: | https://www.wjgnet.com/1948-9366/full/v17/i4/103696.htm |
| Number | Citing Articles |
| 1 |
Pan Zhang, Ling Wu, Yunxi Liao, Hong Li. Transforming perioperative care: The current landscape and future trajectory of artificial intelligence in anesthesia–A narrative review. Journal of International Medical Research 2026; 54(6) doi: 10.1177/03000605261454051
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| 2 |
Jhofre Vinicio Prado Quilambaqui, María Augusta Chafla Romero, Jorge Luis Choca Alcocer. Uso de la inteligencia artificial en la detección temprana de complicaciones postoperatorias. Esprint Investigación 2026; 5(1) doi: 10.61347/ei.v5i1.311
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| 3 |
Hafsa Younus, Aamir Nawaz, Haris Khwaja. Metabolic and Bariatric Surgery, Endobariatrics, and AI [Working Title]. 2026; doi: 10.5772/intechopen.1015289
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| 4 |
Kristin S. Williams. Applications of Artificial Intelligence in Healthcare. 2026; doi: 10.1016/B978-0-443-43934-6.00018-3
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| 5 |
Catalin Dumitru Cosma, Vlad-Olimpiu Butiurca, Marian Botoncea, Călin-Dragoș Molnar, Calin Molnar. Predictive Models and Artificial Intelligence for Risk Stratification in Emergency Abdominal Surgery: A Contemporary Review. Emergency Care and Medicine 2026; 3(3) doi: 10.3390/ecm3030024
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