Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/83041, first published
.

Journals
- Song Q, Liu J, Wang C. Tuberculosis: Clinical Laboratory Diagnostic Techniques and Future Perspectives. Vaccines 2025;14(1):38 View
- Thapa R, Paudyal V, Sharma M, Ratnani I, Surani S. Artificial intelligence advancement in addressing cough. World Journal of Clinical Cases 2026;14(7) View
- Pokoo-Aikins M, Hasford F, Dery T, Sosu E, Sackey T, Poku L, Issahaku S, Boadu M, Agyabeng A, Sarsah L, Asamanyuah B, Akyea-Larbi K, Asibey L, Djan B. Emerging technologies in medical physics: the role of artificial intelligence in medical imaging and potential adoption in Ghana. Physica Medica 2026;149:107171 View
- Qin W, Hu Q, Jing J. An ensemble model approach for identifying pulmonary tuberculosis on chest X-ray. Frontiers in Medicine 2026;13 View
Books/Policy Documents
- Tamboli M, Deshmukh V, Chunkhare M, Jadhav S. Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine. View
Conference Proceedings
- M N, V T, B S, M M. 2026 IEEE 18th International Conference on Computational Intelligence and Communication Networks (CICN). Interpretable Multimodal Late-Fusion Deep Learning for Tuberculosis Severity Classification View
