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For: Charilaou P, Battat R. Machine learning models and over-fitting considerations. World J Gastroenterol 2022; 28(5): 605-607 [PMID: 35316964 DOI: 10.3748/wjg.v28.i5.605]
URL: https://www.wjgnet.com/1007-9327/full/v28/i5/605.htm
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Hyun Uk Kim, Yoonsoo Choi, Yeo Song Kim, Young Il Kim, Wan-Soo Yoon, Seung Ho Yang. Automated meningioma detection using skull X ray images with deep learning and machine learning classifiers. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-23933-9
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Kalyan Tadepalli, Abhijit Das, Tanushree Meena, Sudipta Roy. Bridging gaps in artificial intelligence adoption for maternal-fetal and obstetric care: Unveiling transformative capabilities and challenges. Computer Methods and Programs in Biomedicine 2025; 263 doi: 10.1016/j.cmpb.2025.108682
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Bingnan Du, Lin Li, Ke Zhang, Zhihui Gu, Di Zhang, Qi Li, Chenxin Yang, Shihan Yang, Xinyao Hao, Daiyu Wei, Qing Wu, Li Liu, Hui Wu. Construction of a prediction model for sleep disturbances in Chinese nurses and identification of predictive factors: based on explainable machine learning methods. BMC Nursing 2025; 24(1) doi: 10.1186/s12912-025-03803-5
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Jovitha Wilson, Seyed Ebrahim Hosseini, Shahbaz Pervez. Identification of Fake News in Social Media Using Sentimental Analysis. 2023 IEEE Industrial Electronics and Applications Conference (IEACon) 2023;  doi: 10.1109/IEACon57683.2023.10370300
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Nipun Verma, Arka De, Ajay Duseja. Editorial: Using machine learning to predict significant fibrosis in metabolic dysfunction‐associated steatotic liver disease—authors' reply. Alimentary Pharmacology & Therapeutics 2024; 59(7) doi: 10.1111/apt.17913
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Shaodong Zheng, Lin Jing, Kai Liu, Zhenhao Yu, Zhao Tang, Kaiyun Wang. Crash energy management optimization of high-speed trains by machine learning methods. International Journal of Mechanical Sciences 2024; 270 doi: 10.1016/j.ijmecsci.2024.109108
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Mia Gisselbaek, Joana Berger-Estilita, Arnout Devos, Pierre Luigi Ingrassia, Peter Dieckmann, Sarah Saxena. Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration. BMC Anesthesiology 2025; 25(1) doi: 10.1186/s12871-025-03130-x
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Jun Li, Chenyi Zhang, Mingzhe Li, Shiwen Luo, Xuao Lu, Yakun Zhu, Zhengyang Gao, Weijie Yang. Attention to training set partitioning in machine learning for solid-state hydrogen storage alloys. Journal of Alloys and Compounds 2026; 1065 doi: 10.1016/j.jallcom.2026.187957
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Digsu N. Koye, Rodney Kwok, Yih-Chung Tham, Tina Zafari, Kartik Kishore, Elif I. Ekinci. Limitation of existing GFR estimating equations and application of artificial intelligence in improving GFR estimation and chronic kidney disease progression in people with diabetes. Diabetes Research and Clinical Practice 2026; 233 doi: 10.1016/j.diabres.2026.113152
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Jung Hun Oh, Aditya Apte, Harini Veeraraghavan, Jiening Zhu, Amita Shukla-Dave, Joseph O. Deasy. Radiomic clustering using graph network techniques coupled with unbalanced optimal transport. Computational and Structural Biotechnology Journal 2025; 27 doi: 10.1016/j.csbj.2025.10.066
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Zaid Alhulaybi, Muhammad Martuza, Sayeed Rushd. Modeling the Mechanical Properties of a Polymer-Based Mixed-Matrix Membrane Using Deep Learning Neural Networks. ChemEngineering 2023; 7(5) doi: 10.3390/chemengineering7050080
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