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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
Ali Imad Alabdalhussein, Mohammed Hasan Al-Khafaji, Peter Conboy, Hitesh Singhavi, Fahid Anwar, Mohammed Elkrim, Miss 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; 111: 23 doi: 10.1016/j.bjps.2025.09.029
5
Gelila Yitageasu, Eyob Akalewold Alemu, Eshetu Abera Worede, Mitkie Tigabie, Lidetu Demoze. Machine learning-based prediction of household sanitation facility access in Sub-Saharan Africa: insights from DHS data (2012–2024)Archives of Public Health 2025; 83(1) doi: 10.1186/s13690-025-01780-4
6
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
7
Stephen Krisdy, Gunawan Wang. A CRISP-DM Based Hybrid Machine Learning Approach for Predicting HIV/AIDS Spread Patterns in Indonesia2025 International Conference on Computer and Applications (ICCA) 2025; : 1 doi: 10.1109/ICCA66035.2025.11430739
8
Reza Rahutomo, Syafiie Syam, Rizal Ashari Nampira, Akhmad Syaifuddin. Important Roles of Artificial Intelligence Continuous Glucose Monitoring: A Systematic Literature Review2025 International Conference on Information Management and Technology (ICIMTech) 2025; : 782 doi: 10.1109/ICIMTech67074.2025.11265532
9
Prokash Gogoi, J. Arul Valan. Homomorphic encryption for secure and scalable predictive healthcare analytics: a review and case studyLife Cycle Reliability and Safety Engineering 2026;  doi: 10.1007/s41872-025-00389-4
10
João Pedro Stone Moreira, Thaiane Kreps Schönhofen, Diego Duarte Bottero, Giancarlo Lucca, Lizandro de Souza Oliveira. Aplicação de Aprendizado de Máquina no Auxílio ao Diagnóstico de Doenças Renais CrônicasAnais do VIII Workshop-Escola de Informática Teórica (WEIT 2025) 2025; : 10 doi: 10.5753/weit.2025.40437
11
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
12
M P Simina, Sebastian Terence, M M Anishin Raj. A Machine Learning Approach to Predict Knee Septic Arthritis Using Engineered Clinical Features2025 11th International Conference on Smart Computing and Communications (ICSCC) 2025; : 1 doi: 10.1109/ICSCC66177.2025.11233634
13
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
14
Implementation of Hybrid Machine Learning Method for Predicting Tuberculosis Spread Patterns Using CRISP-DM Framework in Indonesia2025 International Conference on Computer and Applications (ICCA) 2025; : 1 doi: 10.1109/ICCA66035.2025.11430961
15
Neetu Settia, Pawan Kumar Singh, Monica Bhutani. Advancing AI-Driven Disease Diagnosis: A Hybrid MDCN and Transfer Learning Framework for Brain Tumor Diagnosis2025 7th International Conference on Artificial Intelligence and Speech Technology (AIST) 2025; : 1 doi: 10.1109/AIST68591.2025.11441518