| For: | Li J, Jia YM, Zhang ZL, Liu CY, Jiang ZW, Hao ZW, Peng L. Development and validation of a machine learning-based early prediction model for massive intraoperative bleeding in patients with primary hepatic malignancies. World J Gastrointest Oncol 2024; 16(1): 90-101 [PMID: 38292843 DOI: 10.4251/wjgo.v16.i1.90] |
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| URL: | https://www.wjgnet.com/1948-5204/full/v16/i1/90.htm |
| Number | Citing Articles |
| 1 |
Henrique Coelho, Fernando Silva, Marta Correia, Pedro Miguel Rodrigues. Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications. Journal of Clinical Medicine 2025; 14(23) doi: 10.3390/jcm14238479
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| 2 |
Shiqiong Yan, Ping Zhang, Wanwan Qiao, Sijia Xie, Huan Hu, Yi Gao, Linli Xie, Jie Jing. Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review. JMIR Medical Informatics 2026; 14 doi: 10.2196/80930
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| 3 |
Kimika Kato, Yasuhito Mitsuyama, Hiroji Shinkawa, Takuma Okada, Atsushi Sugimoto, Ryota Tanaka, Sadaaki Nishimura, Jun Tauchi, Masahiko Kinoshita, Genki Watanabe, Kohei Nishio, Takeaki Ishizawa. Deep learning model using contrast-enhanced CT imaging features and clinical variables to predict surgical risk after hepatic resection for hepatocellular carcinoma. Frontiers in Oncology 2026; 16 doi: 10.3389/fonc.2026.1910921
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