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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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