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Volume 2 ǀ Issue 1 ǀ January 2025 ǀ Page 1 – 120 ǀ

                                                                        Artificial Intelligence in Health


                                                                             https://accscience.com/journal/AIH


           CONTENTS





            REVIEW ARTICLE
            1       The role of artificial intelligence in higher medical education and the ethical challenges of its
                    implementation
                    Mark Perkins, Agnieszka Pregowska


            ORIGINAL RESEARCH ARTICLES
            14      Diagnosis of COVID-19 from computed tomography slices using flower pollination algorithm,
                    k-nearest neighbor, and support vector machine classifiers
                    Betshrine Rachel Jibinsingh, Khanna Nehemiah Harichandran, Kabilasri Jayakannan, Rebecca Mercy Victoria Manoharan,
                    Anisha Isaac
            29      Deep learning on chest X-ray and computed tomography scans for detection of COVID-19 as
                    a part of a network-centric digital health stack for future pandemics
                    Ajay Kumar Gogineni, Madapathi Hitesh, Prashant Kumar Jha, Soumya Suvashish Sen, Shreeja Das, Kisor Kumar Sahu
            42      Enhancing spinal MRI segmentation with an asymmetric U-Net architecture
                    Longfei Zhou, Xingyu Chen, Weihao Cheng, Zhanghao Qin, Tianao Shen, Pingyu Cao, Zebo Huang, Xiangyu Wu, Yiyao
                    Zhang
            53      Algorithm development and metal oxide nanoparticle analysis in magnetic resonance
                    imaging: Advancing neurodegenerative disease diagnostics
                    Daniela Gomes Bornal, Hulder Henrique Zaparoli, Marina Piacenti-Silva, Paulo Noronha Lisboa-Filho, Marcela de Oliveira
            68      Vision transformers for glioma classification using T1 magnetic resonance imaging
                    W. M. S. P. B. Wickramasinghe, Maheshi B. Dissanayake
            81      Benchmarking machine learning missing data imputation methods in large-scale mental
                    health survey databases
                    Preethi Prakash, Kelly Street, Shrikanth Narayanan, Bridget A. Fernandez, Yufeng Shen, Chang Shu
            93      Machine learning-driven prediction of EBNA1 inhibitors against Epstein–Barr virus in
                    nasopharyngeal carcinoma
                    Lavinia Clarisa Wicklem, Siaw San Hwang, Bee Theng Lau, Mrinal Bhave, Xavier Wezen Chee
            105     A machine learning approach to unravel client and program-specific effects in opioid
                    treatment retention
                    Yinfei Kong, Erick Guerrero, Jemima Frimpong, Tenie Khachikian, Suojin Wang, Thomas D’Aunno, Daniel Howard


            BRIEF REPORT
            114     Does improving diagnostic accuracy increase artificial intelligence adoption? A public
                    acceptance survey using randomized scenarios of diagnostic methods
                    Yulin Hswen, Ismaël Rafaï, Antoine Lacombe, Bérengère Davin-Casalena, Dimitri Dubois, Thierry Blayac, Bruno Ventelou










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