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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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Number Citing Articles
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Yiheng Shi, Haohan Fan, Li Li, Yaqi Hou, Feifei Qian, Mengting Zhuang, Bei Miao, Sujuan Fei. The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis. World Journal of Surgical Oncology 2024; 22(1) doi: 10.1186/s12957-024-03321-9
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Yuktika Malhotra, Deepika Yadav, Navaneet Chaturvedi, Ayush Gujar, Richard John, Khurshid Ahmad. Artificial Intelligence in Microbiology: Scope and Challenges Volume 2. Methods in Microbiology 2025; 56 doi: 10.1016/bs.mim.2024.12.005
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87
Ha Eun Kim, Jaeseong Jin, Hyun Woo Kim, Won-jin Chung. Reaction Profile Forecasting by Artificial Data Generation for Wittig-Type Geminal Bromofluoroolefination. Organic Letters 2025; 27(23) doi: 10.1021/acs.orglett.5c01196
88
Ben Li, Badr Aljabri, Derek Beaton, Leen Al-Omran, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran. Predicting outcomes following open abdominal aortic aneurysm repair using machine learning. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-98573-0
89
Yi Zhou, Haitao Nie, Xinyu Gong, Minhui Dai, Zhaohong Guo, Xiaoling Deng, Mengyang Li, Yong Liu, Lingyu Sun, Xiangyi Tang, Ling Zhou, Zhiyao Tang, Ziqing Xia, Lemeng Feng, Wulong Zhang, Qingqing Yi, Xiaobo Xia, Bin Xie, Weitao Song. A three-tier AI solution for equitable glaucoma diagnosis across China’s hierarchical healthcare system. npj Digital Medicine 2025; 8(1) doi: 10.1038/s41746-025-01835-4
90
Shun Chen, Junqing Li, Yu Wang, Shunmin Li, Jianhui Jiang, Yixiang Cui, Xuejian Deng, Lulu Ma, Ze Zhang, Qiang Zhang, Xin Lv. UAV-based monitoring of fruit-manifested abiotic stress in crops under label scarcity: a case study of blossom-end rot in processing tomatoes. Frontiers in Plant Science 2026; 17 doi: 10.3389/fpls.2026.1882618
91
Nithya Navarathna, Adway Kanhere, Charlyn Gomez, Amal Isaiah. Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls. International Journal of Pediatric Otorhinolaryngology 2025; 194 doi: 10.1016/j.ijporl.2025.112369
92
Avi Gupta, Thor S. Stead, Latha Ganti. Determining a Meaningful R-squared Value in Clinical Medicine. Academic Medicine & Surgery 2024;  doi: 10.62186/001c.125154
93
Donna Simon, Keeyen Pang, Rayner Bili, Song-Quan Ong, Henry Bernard. Bornean orangutan nest identification using computer vision and deep learning models to improve conservation strategies. PeerJ 2025; 13 doi: 10.7717/peerj.20333
94
Prin Twinprai, Ong-art Phruetthiphat, Krit Wongwises, Rit Apinyankul, Puripong Suthisopapan, Wongthawat Liawrungrueang, Nattaphon Twinprai. AI classification of knee prostheses from plain radiographs and real-world applications. European Journal of Orthopaedic Surgery & Traumatology 2025; 35(1) doi: 10.1007/s00590-025-04238-z
95
Ruba Sajdeya, Samer Narouze. Harnessing artificial intelligence for predicting and managing postoperative pain: a narrative literature review. Current Opinion in Anaesthesiology 2024; 37(5) doi: 10.1097/ACO.0000000000001408
96
Senobar Naderian, Farzin Soleimanzadeh, Leila Nikniaz, Sarvin Sanaie, Fatemeh Sadeghi‐Ghyassi, Taha Samad‐Soltani. A Systematic Review of Artificial Intelligence‐Based Clinical Decision Support Systems in Prostate Cancer Management. Healthcare Technology Letters 2025; 12(1) doi: 10.1049/htl2.70026
97
Ida Mušović, Lemana Spahić, Lejla Gurbeta Pokvić, Milica Vukotić, Almir Badnjević. CMBEBIH 2025. IFMBE Proceedings 2026; 133 doi: 10.1007/978-3-032-06531-5_91
98
Sarad Pawar Naik Bukke, Chandrashekar Thalluri, Mallikarjun Vasam, Jharna Medhi, Neha Gupta, Milon Selvam Dennison, Muhamad Mustafa Mundu. Engineering innovations for precision medicine: sensors, AI biomarkers, and predictive interventions. Personalized Medicine 2026; 23(4) doi: 10.1080/17410541.2026.2715371
99
Wlla E. Al-Hammad, Masahiro Kuroda, Ghaida Al Jamal, Mamiko Fujikura, Ryo Kamizaki, Kazuhiro Kuroda, Suzuka Yoshida, Yoshihide Nakamura, Masataka Oita, Yoshinori Tanabe, Kohei Sugimoto, Irfan Sugianto, Majd Barham, Nouha Tekiki, Miki Hisatomi, Junichi Asaumi. Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy. Diagnostics 2025; 15(6) doi: 10.3390/diagnostics15060668
100
Spencer L. Sterling, Neil Mittal, Benjamin Greene, Khwankamon Rattanatumhi, Sasiprapa Ninwattana, Mckenna D. Roe, Patarapol Maneeorn, Prateep Duengkae, Supaporn Wacharapluesadee, Eric D. Laing, Opass Putcharoen. Surveillance for Asiatic filoviruses and zoonotic paramyxoviruses at a perceived wildlife–human interface. Emerging Microbes & Infections 2026; 15(1) doi: 10.1080/22221751.2026.2713324
101
Emilio Vello, Megan Letourneau, John Aguirre, Thomas E. Bureau. Integrated web portal for non-destructive salt sensitivity detection of Camelina sativa seeds using fluorescent and visible light images coupled with machine learning algorithms. Frontiers in Plant Science 2024; 14 doi: 10.3389/fpls.2023.1303429
102
Sandeep Mukherji, Saurabh Singh Tomar, Sharad Nigam, Sachin Kumar Sonker, Shesh Kumar. Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems 2025; 1343 doi: 10.1007/978-981-96-5955-5_9
103
Mehdi Aalipour, Mirhossein Mousavinezhad, Naicheng Wu, Ali Torabi Haghighi, Nicola Fohrer, Bahman Jabbarian Amiri. Effect of landscape composition on catchment flow components across Germany using machine learning. Journal of Hydrology: Regional Studies 2026; 63 doi: 10.1016/j.ejrh.2025.103058
104
Yang He, Ning Liu, Jie Yang, Yucai Hong, Hongying Ni, Zhongheng Zhang. Comparison of artificial intelligence and logistic regression models for mortality prediction in acute respiratory distress syndrome: a systematic review and meta-analysis. Intensive Care Medicine Experimental 2025; 13(1) doi: 10.1186/s40635-024-00706-8
105
Jose Luis García Bello, Taira Batista Luna, My Phuong Pham-Ho, Minh Tho Nguyen, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta. Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort. Journal of Electrical Bioimpedance 2025; 16(1) doi: 10.2478/joeb-2025-0012
106
Qunshan Jia, George Daston. Machine Learning and Artificial Intelligence in Toxicology and Environmental Health. 2026;  doi: 10.1016/B978-0-443-30010-3.00005-2
107
Jennifer Yu, Yash S. Lahoti, Kyle C. McCandless, Nikan K. Namiri, Matthew S. Miyasaka, Hamza Ahmed, Junho Song, John J. Corvi, Daniel C. Berman, Samuel K. Cho, Jun S. Kim. Automated Scoliosis Cobb Angle Classification in Biplanar Radiograph Imaging With Explainable Machine Learning Models. Spine 2025; 50(13) doi: 10.1097/BRS.0000000000005312
108
Colin Herna, Madison Cipriani, Yu Zhang, Ranjan Sachdev, Sabrina Jedlicka. Proteomic Analysis of BMAC from the Iliac Crest and Humeral Head Using Support Vector Machines. ACS Omega 2025; 10(31) doi: 10.1021/acsomega.5c03945
109
Wanqing Liu, Ya Xu, Chen Mi, Shanling Yan. Lipid metabolism-based machine learning models for predicting large for gestational age in non-diabetic pregnancies. Frontiers in Endocrinology 2026; 17 doi: 10.3389/fendo.2026.1758008
110
Taira Batista Luna, Jose Luis García Bello, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta. The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning study. BMC Pediatrics 2024; 24(1) doi: 10.1186/s12887-024-04789-w
111
Hailong Feng, Ping Wang, Weihan He, Liwei Shang, Mingrui Cui, Keyang Wang, Kejia An, Yingjian Zhang. Development and interpretable machine learning models for classification of pancreatic pseudocyst risk in acute pancreatitis. Frontiers in Digital Health 2026; 8 doi: 10.3389/fdgth.2026.1753529
112
Yingwen Wu, Yangjian Ji. Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining. Journal of Informetrics 2023; 17(2) doi: 10.1016/j.joi.2023.101398
113
Wanda Lauth, Abel Torres-Espin, Angel Arevalo-Martin, Daniel Garcia-Ovejero, Orpheus Mach, Doris Maier, Rainer Abel, Norbert Weidner, Yorck-Bernhard Kalke, Jiri Kriz, Armin Curt, Catherine Jutzeler, Iris Leister. A data-driven approach to define the stages and patterns of neurological recovery after traumatic spinal cord injury. Journal of Neurology 2026; 273(9) doi: 10.1007/s00415-026-14065-9
114
Cyrel Ontimare Manlises, Jeng-Wen Chen, Chih-Chung Huang. A gated recurrent unit model based on ultrasound images of dynamic tongue movement for determining the severity of obstructive sleep apnea. Ultrasonics 2024; 141 doi: 10.1016/j.ultras.2024.107320
115
Muhammad Mubeen, Shuwei He, M. Safiur Rahman, Lijing Wang, Xin Zhang, Bashir Ahmed, Zhiwei He, Yinghui Han. Smart prediction and optimization of air quality index with artificial intelligence. Journal of Environmental Sciences 2025; 158 doi: 10.1016/j.jes.2025.02.041
116
Wentao Zhang, Wenguang Huang, Jie Tan, Dawei Huang, Jun Ma, Bingdang Wu. Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives. Chemosphere 2023; 311 doi: 10.1016/j.chemosphere.2022.137044
117
Shaina Smith, Sabine McConnell. The use of artificial neural networks and decision trees: Implications for health-care research. Open Computer Science 2024; 14(1) doi: 10.1515/comp-2022-0279
118
Sheza Malik, Rishi Das, Thanita Thongtan, Kathryn Thompson, Nader Dbouk. AI in Hepatology: Revolutionizing the Diagnosis and Management of Liver Disease. Journal of Clinical Medicine 2024; 13(24) doi: 10.3390/jcm13247833
119
Paul O. Awoyera, Lenganji Simwanda, Milica V. Vasić, Md Azree Othuman Mydin, Udeme Udo Imoh, Olaolu George Fadugba, Andi Asiz, Majid Movahedi Rad. Hybrid generative–ensemble approach for predicting recycled aggregate concrete strength properties. Scientific Reports 2026; 16(1) doi: 10.1038/s41598-026-42598-6
120
Bhanu Teja Korra, Kunjulakshmi Roffin, Subashani Singh, Sushree Sangita Kar, Kavita Kundal, Avik Sengupta, Rahul Kumar. Springer Handbook of Chem- and Bioinformatics. Springer Handbooks 2025;  doi: 10.1007/978-3-031-81728-1_41
121
Muhammad Ali Martuza, Sayeed Rushd, Md Arifuzzaman. Deep learning-based modeling of sulfur-extended asphalt (SEA) properties: a novel computational framework. PeerJ Computer Science 2026; 12 doi: 10.7717/peerj-cs.3725
122
Hang Thi Thuy Tran, Quang Hao Nguyen, Ty Huu Pham, Giang Thi Huong Ngo, Nho Tran Dinh Pham, Tung Gia Pham, Chau Thi Minh Tran, Thang Nam Ha. Novel Learning of Bathymetry from Landsat 9 Imagery Using Machine Learning, Feature Extraction and Meta-Heuristic Optimization in a Shallow Turbid Lagoon. Geosciences 2024; 14(5) doi: 10.3390/geosciences14050130
123
Laily Azyan Ramlan, Wan Mimi Diyana Wan Zaki, Haliza Abdul Mutalib, Aini Hussain, Aouache Mustapha. Cataract Detection using Pupil Patch Classification and Ruled-based System in Anterior Segment Photographed Images. 2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE) 2023;  doi: 10.1109/ISCAIE57739.2023.10165004
124
Zeyu Wang, Xijian Li, Junjie Cai, Shoukun Chen. Research on the application and effect of machine learning model based on various optimization algorithms in the prediction of coal seam gas desorption amount. Chemical Engineering Research and Design 2026; 230 doi: 10.1016/j.cherd.2026.05.028
125
Phani Paladugu, Rahul Kumar, Jahnavi Yelamanchi, Ethan Waisberg, Joshua Ong, Mouayad Masalkhi, Chirag Gowda, Ryung Lee, Dylan Amiri, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli, Andrew G. Lee. Prediction of Cerebrospinal Fluid (CSF) Pressure with Generative Adversarial Network Synthetic Plasma-CSF Biomarker Pairing. Neuroinformatics 2025; 23(3) doi: 10.1007/s12021-025-09729-2
126
Arshmeet Kaur, Morteza Sarmadi. Comparative Analysis of Machine Learning Techniques for Imbalanced Genetic Data. Annals of Data Science 2025; 12(5) doi: 10.1007/s40745-024-00575-8
127
Md. Minhazul Islam, Md. Tanbeer Jubaer, Azmain Yakin Srizon, Md. Ali Hossain, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, A. F. M. Minhazur Rahman, Nishat Tasnim Esha. Explainable AI-Driven Improved Disease Prediction through Symptom Analysis with Custom BERT. 2024 27th International Conference on Computer and Information Technology (ICCIT) 2024;  doi: 10.1109/ICCIT64611.2024.11022559
128
Vincenzo Calabrese, Maria Rita Stancanelli, Maria Eva Sberna, Giovanni Taverna, Giulio Geraci, Valeria Cernaro, Domenico Santoro. Impact of RAASIs on Potassium and Mortality in a Large Cohort of Hemodialysis Patients: Practical Excursus and Comparison Between Traditional Statistics and Machine Learning. Journal of Clinical Medicine 2026; 15(13) doi: 10.3390/jcm15134928
129
Anand Kumar Pandey, Shalja Verma. Radiomics and Radiogenomics in Neuro-Oncology. 2024;  doi: 10.1016/B978-0-443-18508-3.00005-X
130
Chenyi Zhao, Jie Zhao, Wenlei Wang, Changjiang Yuan, Jie Tang. A novel hybrid ensemble model for mineral prospectivity prediction: A case study in the Malipo W-Sn mineral district, Yunnan Province, China. Ore Geology Reviews 2024; 168 doi: 10.1016/j.oregeorev.2024.106001
131
Afia Muntakim, Mahamudur Rahaman Khan. Explainable Seizure Detection with Deep Neural Networks. 2025 28th International Conference on Computer and Information Technology (ICCIT) 2025;  doi: 10.1109/ICCIT68739.2025.11491430
132
Peter Aduvie Josiah, Chinedu Nwosu-Ijiomah, Ndidi Atasie Eboh. Artificial Intelligence in Surgery: Current Applications and Future Prospects. Epidemiology and Health Data Insights 2026; 2(4) doi: 10.63946/ehdi/18696
133
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134
Nezar Hammouri, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Hamdan A. Hamdan, Mohamed Barakat G. Gibril, Daniel Moraetis, Mohamed I. Abdel-Fattah. Machine and deep learning in geological applications: a review of advances, challenges, and future research directions. Mediterranean Geoscience Reviews 2026; 8(1) doi: 10.1007/s42990-026-00220-x
135
Eric McMullen, Yousif Al-Naser, Jonathan Chung, Jensen Yeung. Machine Learning Applications in Psoriasis Treatment: A Systematic Review. Journal of Cutaneous Medicine and Surgery 2024; 28(3) doi: 10.1177/12034754241238482
136
Hybrid Ensemble Machine Learning for Multidimensional Poverty Prediction. 2025 5th International Conference of Science and Information Technology in Smart Administration (ICSINTESA) 2025;  doi: 10.1109/ICSINTESA68165.2025.11413672
137
Stephan Peronard Mayntz. Enhancing Predictive Models for Mortality in Heart Failure Patients with Clostridioides difficile Infection. Cardiology 2024; 150(4) doi: 10.1159/000542319
138
Chaitanya Baliram Pande, Johnbosco C. Egbueri, Romulus Costache, Lariyah Mohd Sidek, Qingzheng Wang, Fahad Alshehri, Norashidah Md Din, Vinay Kumar Gautam, Subodh Chandra Pal. Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development. Journal of Cleaner Production 2024; 444 doi: 10.1016/j.jclepro.2024.141035
139
Andreas Fontalis, Baixiang Zhao, Pierre Putzeys, Fabio Mancino, Shuai Zhang, Thomas Vanspauwen, Fabrice Glod, Ricci Plastow, Evangelos Mazomenos, Fares S. Haddad. Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?. Bone & Joint Open 2024; 5(8) doi: 10.1302/2633-1462.58.BJO-2024-0020.R1
140
Ramtin Elkaei Behjati, Moein Navvab Kashani, Fathollah Ommi. Multi-objective optimization of engine performance and emissions using a CuO–E10 nanofluid: A hybrid modeling framework integrating machine learning, response surface methodology, and NSGA-II/TOPSIS. Results in Engineering 2026; 32 doi: 10.1016/j.rineng.2026.111755
141
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
142
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
143
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
144
Sazzli Kasim, Kiew Xue Ning, Sorayya Malek, Putri Nur Fatin Amir Rudin, Chien Wen Koh, Khairul Shafiq Ibrahim, Alan Yean Yip Fong, Wan Azman Wan Ahmad. Predicting mortality risk in hospitalized ACS patients with hypertensive comorbidity: an interpretable machine learning approach. BMC Medical Informatics and Decision Making 2026; 26(1) doi: 10.1186/s12911-026-03626-7
145
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
146
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
147
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
148
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
149
José Luis García Bello, Taira Batista Luna, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta. Cancer predictive model derived from bioimpedance measurements using machine learning methods. Clinical Nutrition Open Science 2024; 58 doi: 10.1016/j.nutos.2024.10.006
150
Rushad Patell, Jeffrey I. Zwicker, Rohan Singh, Simon Mantha. Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot. Bleeding, Thrombosis and Vascular Biology 2024; 3(s1) doi: 10.4081/btvb.2024.123
151
Matthew T. Carr, Ashwin Ghadiyaram, Asha Krishnakumar, Hayden M. Dux, Jacob T. Hall, Charles F. Opalak, Adam P. Sima, Timothy J. Harris, William C. Broaddus. Mathematical modeling of meningioma volume change after radiation treatment. Clinical Neurology and Neurosurgery 2024; 245 doi: 10.1016/j.clineuro.2024.108513
152
Ali Rastegari, Homa Faghihi, Mahta Mobinikhaledi. Prediction drug release profile from chitosan nanoparticles: integration of experimental data and machine learning models. Drug Development and Industrial Pharmacy 2025; 51(12) doi: 10.1080/03639045.2025.2569573
153
Julia Mühlbauer, Luise Gottstein, Luisa Egen, Caelan Haney, Alexander Studier‐Fischer, Evangelia Christodoulou, Giovanni E. Cacciamani, Keno März, Lena Maier‐Hein, Stephan Maurice Michel, Allison Quan, Karl‐Friedrich Kowalewski. AI‐driven preoperative risk assessment in kidney cancer surgery: A comparative feasibility study of machine learning models. BJUI Compass 2025; 6(10) doi: 10.1002/bco2.70080
154
Dharel P. Acut, Nolasco K. Malabago, Elesar V. Malicoban, Narcisan S. Galamiton, Manuel B. Garcia. “ChatGPT 4.0 Ghosted Us While Conducting Literature Search:” Modeling the Chatbot’s Generated Non-Existent References Using Regression Analysis. Internet Reference Services Quarterly 2025; 29(1) doi: 10.1080/10875301.2024.2426793
155
Yashar Aryanfar, Ali Keçebaş, Hamidreza Fardinnia, Rashed Aghazadeh, Humberto Garcia Castellanos, Hassan Abdulhakim Wagini, Shaban Mousavi Ghasemlou, Jorge Luis García-Alcaraz. Embedded Systems in Automotive Applications. 2026;  doi: 10.1016/B978-0-443-33861-8.00015-X
156
Emahnuel Troisi Lopez, Marianna Liparoti, Roberta Minino, Antonella Romano, Arianna Polverino, Anna Carotenuto, Domenico Tafuri, Giuseppe Sorrentino, Pierpaolo Sorrentino. Kinematic network of joint motion provides insight on gait coordination: An observational study on Parkinson's disease. Heliyon 2024; 10(15) doi: 10.1016/j.heliyon.2024.e35751
157
Randa Achraf, Mahmoud Mounir, Sherin M. Moussa. A new framework for energy-optimized biological treatment in wastewater treatment plants using machine learning techniques. Journal of Cleaner Production 2025; 517 doi: 10.1016/j.jclepro.2025.145854
158
Sara Ramdani, Nour El Houda Benkaddour, Intissar Haddiya. Digital advancements in hypertension management. 2024 3rd International Conference on Embedded Systems and Artificial Intelligence (ESAI) 2024;  doi: 10.1109/ESAI62891.2024.10913561
159
Onur Ceran, Serçin Karataş. What Influences Human Behaviour to Follow Their Intentions When It Comes to Cybersecurity?. Asian Journal of Social Psychology 2025; 28(4) doi: 10.1111/ajsp.70050
160
M.C. Van Maaren, T.A. Hueting, D.J.P. van Uden, M. van Hezewijk, L. de Munck, M.A.M. Mureau, P.A. Seegers, Q.J.M. Voorham, M.K. Schmidt, G.S. Sonke, C.G.M. Groothuis-Oudshoorn, S. Siesling. The INFLUENCE 3.0 model: Updated predictions of locoregional recurrence and contralateral breast cancer, now also suitable for patients treated with neoadjuvant systemic therapy. The Breast 2025; 79 doi: 10.1016/j.breast.2024.103829
161
Kwanele Phinzi. Integrating an empirical erosion model and machine learning for assessing soil loss and sediment delivery dynamics in a sub-humid catchment. Modeling Earth Systems and Environment 2026; 12(2) doi: 10.1007/s40808-026-02780-1
162
Jinfei Fan, Jiazhen Xu, Xiaobo Wen, Li Sun, Yutao Xiu, Zongying Zhang, Ting Liu, Daijun Zhang, Pan Wang, Dongming Xing. The future of bone regeneration: Artificial intelligence in biomaterials discovery. Materials Today Communications 2024; 40 doi: 10.1016/j.mtcomm.2024.109982
163
Kun Yang, Yuying Sun, Yongmiao Hong, Shouyang Wang. Forecasting interval carbon price through a multi-scale interval-valued decomposition ensemble approach. Energy Economics 2024; 139 doi: 10.1016/j.eneco.2024.107952
164
Manizheh Rajab Pourrahmati, Guerric Le Maire, Nicolas Baghdadi, Clayton Alcarde Alvares, José Luis Stape, Henrique Ferraco Scolforo, Otávio Camargo Campoe, Yann Nouvellon, Joannès Guillemot. Integrating MODIS-derived indices for eucalyptus stand volume estimation: an evaluation of MODIS gross primary productivity. Frontiers in Remote Sensing 2025; 6 doi: 10.3389/frsen.2025.1588387
165
Lejaniya Abdul Kalam Saleena, Michelle Soo Oi Yoon, Gafar Babatunde Bamigbade, Abdelmoneim Ali, Afaf Kamal-Eldin, Mutamed Ayyash. From matrix complexity to fraud detection: Mechanistic challenges and integrated authentication frameworks for camel milk. Food Chemistry Advances 2026; 12 doi: 10.1016/j.focha.2026.101372
166
Rui Huang, Shuangcheng Ma, Shengyun Dai, Jian Zheng. Application of Data Fusion in Traditional Chinese Medicine: A Review. Sensors 2023; 24(1) doi: 10.3390/s24010106
167
Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu. Advancements and future outlook of Artificial Intelligence in energy and climate change modeling. Advances in Applied Energy 2025; 17 doi: 10.1016/j.adapen.2025.100211
168
Xiaohang Liu, Yaguang Peng, Nan Li, Xun Tang, Siyu Cai, Ruohua Yan, Chao Zhang, Guanmin Chen, Yaolong Chen, Lihong Huang, Lina Jin, Jun Lyu, Sheyu Li, Qing Liu, Shusen Liu, Xiaochen Shu, Jing Tan, Zhirui Zhou, Xiaoxia Peng. The Necessity and Feasibility Assessment Tool of the Clinical Prediction Model for Individual Prognosis Before Its Startup: A Multi‐Sectoral Delphi Consensus Study. Journal of Evidence-Based Medicine 2026; 19(1) doi: 10.1111/jebm.70106
169
Ben Li, Badr Aljabri, Raj Verma, Derek Beaton, Naomi Eisenberg, Douglas S. Lee, Duminda N. Wijeysundera, Thomas L. Forbes, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche-Nagle, Mohammed Al-Omran. Using machine learning to predict outcomes following open abdominal aortic aneurysm repair. Journal of Vascular Surgery 2023; 78(6) doi: 10.1016/j.jvs.2023.08.121
170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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190
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191
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192
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193
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194
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195
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196
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