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Volume 2 Issue 1 2025
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REVIEW ARTICLE

The role of artificial intelligence in higher medical education and the ethical challenges of its implementation

Mark Perkins, Agnieszka Pregowska
Artificial Intelligence in Health 2025, 2(1), 1–13; https://doi.org/10.36922/aih.3276
ORIGINAL RESEARCH ARTICLE

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, ... Kisor Kumar Sahu
Artificial Intelligence in Health 2025, 2(1), 29–41; https://doi.org/10.36922/aih.2888
ORIGINAL RESEARCH ARTICLE

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
Artificial Intelligence in Health 2025, 2(1), 53–67; https://doi.org/10.36922/aih.3947
(This article belongs to the Special Issue Artificial intelligence for diagnosing brain diseases)
ORIGINAL RESEARCH ARTICLE

Enhancing spinal MRI segmentation with an asymmetric U-Net architecture

Longfei Zhou, Xingyu Chen, Weihao Cheng, Zhanghao Qin, ... Yiyao Zhang
Artificial Intelligence in Health 2025, 2(1), 42–52; https://doi.org/10.36922/aih.3889
ORIGINAL RESEARCH ARTICLE

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
Artificial Intelligence in Health 2025, 2(1), 14–28; https://doi.org/10.36922/aih.3349
ORIGINAL RESEARCH ARTICLE

Vision transformers for glioma classification using T1 magnetic resonance imaging

W. M. S. P. B. Wickramasinghe, Maheshi B. Dissanayake
Artificial Intelligence in Health 2025, 2(1), 68–80; https://doi.org/10.36922/aih.4155
(This article belongs to the Special Issue Artificial intelligence for diagnosing brain diseases)
ORIGINAL RESEARCH ARTICLE

Benchmarking machine learning missing data imputation methods in large-scale mental health survey databases

Preethi Prakash, Kelly Street, Shrikanth Narayanan, Bridget A. Fernandez, ... Chang Shu
Artificial Intelligence in Health 2025, 2(1), 81–92; https://doi.org/10.36922/aih.4406
ORIGINAL RESEARCH ARTICLE

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
Artificial Intelligence in Health 2025, 2(1), 93–104; https://doi.org/10.36922/aih.4375
ORIGINAL RESEARCH ARTICLE

A machine learning approach to unravel client and program-specific effects in opioid treatment retention

Yinfei Kong, Erick Guerrero, Jemima Frimpong, Tenie Khachikian, ... Daniel Howard
Artificial Intelligence in Health 2025, 2(1), 105–113; https://doi.org/10.36922/aih.3750
BRIEF REPORT

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, ... Bruno Ventelou
Artificial Intelligence in Health 2025, 2(1), 114–120; https://doi.org/10.36922/aih.3561
(This article belongs to the Special Issue Artificial intelligence for diagnosing brain diseases)
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Artificial Intelligence in Health, Electronic ISSN: 3029-2387 Print ISSN: 3041-0894, Published by AccScience Publishing