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Volume 2 Issue 1 2025
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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