Published on in Vol 13 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/54388, first published
.

Journals
- Yuriy R, Tatarina O, Kaminskyy V, Silina T, Bashkirova L. Modern Methods and Prospects for Using Artificial Intelligence in Disease Diagnostics: A Narrative Review. Futurity Medicine 2024;3(4) View
- Fan M, Liu Y, Liu K, Liu X, Li Y, Li T, Zhang C, Zhang H, Cheng J. Health system delay and risk factors in pulmonary tuberculosis diagnosis before and during the COVID-19 epidemic: a multi-center survey in China. Frontiers in Public Health 2025;13 View
- Zhou J, Park S, Dong S, Tang X, Wei X. Artificial intelligence-driven transformative applications in disease diagnosis technology. Medical Review 2025;5(5):353 View
- Feng S, Zhang W, Zhang R, Yang Y, Wang F, Miao C, Chen Z, Yang K, Yao Q, Liang Q, Zhao H, Chen Y, Liang C, Liang X, Chen R, Liang Z. The Identification and Severity Staging of Chronic Obstructive Pulmonary Disease Using Quantitative CT Parameters, Radiomics Features, and Deep Learning Features. Respiration 2025:1 View
- Ning H, Zheng W, Zhang J, Li F, Qiao N. Analysis of Cough Factors and Quality of Life Score Among Children With Protracted Bacterial Bronchitis: Cross-Sectional Study. JMIR Pediatrics and Parenting 2025;8:e82887 View
