This paper is in the following e-collection/theme issue:

Digital Health Reviews (1451) Artificial Intelligence (1626) Pulmonology, COPD (158) Infectious Diseases (non-STD/STI) (1640) Machine Learning (1644) Computer-Aided Diagnosis (168)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43154, first published .
Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Authors of this article:

Seng Hansun1, 2 Author Orcid Image ;   Ahmadreza Argha3, 4, 5 Author Orcid Image ;   Siaw-Teng Liaw6 Author Orcid Image ;   Branko G Celler7 Author Orcid Image ;   Guy B Marks1, 2 Author Orcid Image
Article Authors Cited by (26) Tweetations (6) Metrics

Journals

  1. Liang X, Tang K, Ke X, Jiang J, Li S, Xue C, Deng J, Liu X, Yan C, Gao M, Zhou J, Zhao L. Development of an MRI‐Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor. Journal of Magnetic Resonance Imaging 2024;60(2):523 View
  2. Özkurt C. Improving Tuberculosis Diagnosis using Explainable Artificial Intelligence in Medical Imaging. Journal of Mathematical Sciences and Modelling 2024;7(1):33 View
  3. Chen B, Sheng W, Wu Z, Ma B, Cao N, Li X, Yang J, Yuan X, Yan L, Zhu G, Zhou Y, Huang Z, Zhu M, Ding X, Du H, Wan Y, Gao X, Cheng X, Xu P, Zhang T, Tao K, Shuai X, Cheng P, Gao Y, Zhang J. Machine learning based peri-surgical risk calculator for abdominal related emergency general surgery: a multicenter retrospective study. International Journal of Surgery 2024;110(6):3527 View
  4. Too E, Mwathi D, Gitonga L, Mwaka P, Kinyori S. An X-ray image-based pruned dense convolution neural network for tuberculosis detection. Computer Methods and Programs in Biomedicine Update 2024;6:100169 View
  5. Xu Y, Kang W, Sun W, Tong H, Ke W, Lyu E. Towards multi-view sputum smear quality classification. Biomedical Signal Processing and Control 2025;102:107217 View
  6. Dhivyaa C, Nithya K, Sathiya Kumar C, Sudhakar R. Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis. IEEE Access 2024;12:176920 View
  7. Argha A, Alinejad-Rokny H, Baumgartner M, Schreier G, Celler B, Redmond S, Butcher K, Ooi S, Lovell N. A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms. IEEE Transactions on Biomedical Engineering 2025;72(2):833 View
  8. Yang Y, Xing W, Liu Y, Li Y, Ta D, Song Y, Hou D. Medical imaging-based artificial intelligence in pneumonia: A narrative review. Neurocomputing 2025;630:129731 View
  9. Kumar S, Rayal S, Bommaraju R, Varasala N, Papineni S, Deo S. Understanding Providers’ Attitude Toward AI in India’s Informal Health Care Sector: Survey Study. JMIR Formative Research 2025;9:e54156 View
  10. Eisentraut L, Mai C, Hosch J, Benecke A, Penava P, Buettner R. Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens. IEEE Access 2025;13:36065 View
  11. Kaewwilai L, Yoshioka H, Choppin A, Prueksaritanond T, Ayuthaya T, Brukesawan C, Matupumanon S, Kawabe S, Shimahara Y, Phosri A, Kaewboonchoo O. Development and evaluation of an artificial intelligence (AI) -assisted chest x-ray diagnostic system for detecting, diagnosing, and monitoring tuberculosis. Global Transitions 2025 View
  12. Zhang S, Bei C, Li M, Zeng J, Yang L, Ren T, Deng G, Hong R, Cai J, Li D, Wang C, Xu P, Takiff H, Lu S, Zhang P, Gao Q. Identification and evaluation of blood transcriptional biomarker for tuberculosis screening. International Journal of Infectious Diseases 2025;153:107838 View
  13. Hansun S, Argha A, Bakhshayeshi I, Wicaksana A, Alinejad-Rokny H, Fox G, Liaw S, Celler B, Marks G. Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review. Journal of Medical Internet Research 2025;27:e69068 View

Books/Policy Documents

  1. Ahamed M, Nahiduzzaman M, Islam M, Rahman T, Islam K, Altyeb A, Chowdhury M. Surveillance, Prevention, and Control of Infectious Diseases. View
  2. Yousif D, Mesilhy R, Aly R, Hegazi S, Yousif Z, Cyprian F, Abdallah A. Surveillance, Prevention, and Control of Infectious Diseases. View
  3. Juárez-Gonzalez B, Villalba-Meneses F, Cruz-Varela J, Tirado-Espín A, Vizcaino-Imacaña P, Cadena-Morejon C, Guevara C, Almeida-Galárraga D. Information and Communication Technologies. View
  4. Koul A, Bawa R, Kumar Y. Artificial Intelligence and Speech Technology. View