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Cited by in CrossRef
For: Arkoudis NA, Papadakos SP. Machine learning applications in healthcare clinical practice and research. World J Clin Cases 2025; 13(1): 99744 [PMID: 39764535 DOI: 10.12998/wjcc.v13.i1.99744]
URL: https://www.wjgnet.com/2307-8960/full/v13/i1/99744.htm
Number Citing Articles
1
Farah Farzaneh, Amir Soltani, Fatemeh Dastyar, Marzieh Mohammadi, Maryam Sadat Hosseini. AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworksBMC Cancer 2025; 25(1) doi: 10.1186/s12885-025-14974-4
2
Abhinav Dahiya, Devvrat Raghuvanshi, Chhaya Sharma, Kamaldeep Joshi, Ashima Nehra, Archana Sharma, Radha Jangra, Parul Badhwar, Renu Tuteja, Sarvajeet S. Gill, Ritu Gill. Deep learning method for malaria parasite evaluation from microscopic blood smearArtificial Intelligence in Medicine 2025; 163: 103114 doi: 10.1016/j.artmed.2025.103114
3
Geeta Tiwari, Sanjeev Kumar, Neeraj Tiwari, Korhan Cengiz. Integrating AI With Haptic Systems for Smarter Healthcare SolutionsAdvances in Computational Intelligence and Robotics 2025; : 27 doi: 10.4018/979-8-3373-2307-7.ch002
4
Chih-Hao Shen, Ruei-Hao Huang, Yaw-Kuen Li, Ta-Wei Chu, Dee Pei. Using machine learning methods to investigate the role of volatile organic compounds in non-alcoholic fatty liver diseaseFrontiers in Molecular Biosciences 2025; 12 doi: 10.3389/fmolb.2025.1631265
5
Vedavyasa Gurla, S Bhargavi Latha. An Analysis of Kidney Disease Prediction and Diagnosis using Machine Learning Strategies2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) 2024; : 1 doi: 10.1109/ICSES63760.2024.10910518
6
Ali Imad Alabdalhussein, Mohammed Hasan Al-Khafaji, Peter Conboy, Hitesh Singhavi, Fahid Anwar, Mohammed Elkrim, Hazel Busby-Earle, Oladejo Olaleye, Nakul Patel, Sundar Raj Lakshmiah, Phillip Ameerally, Manish Devendra Mair. Evaluating the Accuracy of Machine Learning in Predicting Postoperative Flap Complications: A Meta-AnalysisJournal of Plastic, Reconstructive & Aesthetic Surgery 2025;  doi: 10.1016/j.bjps.2025.09.029
7
Qilin Liu, Zhuang Liang, Xiaoshuang Qi, Shuwen Yang, Binyang Fu, Hui Dong. Contrast-Enhanced CT-Based Deep Learning and Habitat Radiomics for Analysing the Predictive Capability for Oral Squamous Cell CarcinomaInternational Dental Journal 2025; 75(5): 100914 doi: 10.1016/j.identj.2025.100914