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

Formative Evaluation of Digital Health Interventions (3347) Imaging Informatics (317) Computer-Aided Diagnosis (268) Respiratory Medicine (163) Medical imaging (122)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55641, first published .
Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Authors of this article:

Smriti Ridhi1 Author Orcid Image ;   Dennis Robert2 Author Orcid Image ;   Pitamber Soren3 Author Orcid Image ;   Manish Kumar3 Author Orcid Image ;   Saniya Pawar4 Author Orcid Image ;   Bhargava Reddy4 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

  1. Ghosh M, Lahiri M, Dalal A, Parida K, Kalia N. Advancements in tuberculosis diagnostics: An update. Microbial Pathogenesis 2025;207:107843 View
  2. Aurangzeb B, Robert D, Baard C, Qureshi A, Shaheen A, Ambreen A, McFarlane D, Javed H, Bano I, Chiramal J, Workman L, Pillay T, Franckling-Smith Z, Mustafa T, Andronikou S, Zar H. Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study. BMJ Open 2025;15(7):e105881 View
  3. Selvaraj S, N.S. J. Recent developments in diagnosis of Mycobacterium tuberculosis : an overview. Pathogens and Global Health 2025:1 View
  4. Gupta A, Nair A, Ekka S, Gahwai D, Sharma N, Raza Khan F, Damani M, Kumar S, Pawar S, Antony Chiramal J, Robert D, Tadepalli M, Vijayan S, S. Krishnan P, A. Patil N. Evaluating the Usefulness of Artificial Intelligence-based Chest X-Ray Screening in Improving Tuberculosis Detection Among the High-Risk Tribal Population of Chhattisgarh, India: A Prospective Multi-Centre Study. Open Forum Infectious Diseases 2025;13(1) View
  5. Desita Z, Tadesse T, Bohlbro A, Sifna A, Fekadu H, Bizuneh S, Sridhar S, Robert D, Tadepalli M, Wejse C, Schön T, Rudolf F. Computer-Aided Analysis of Photographed Chest X-Ray Films Performs Well Compared to Trained Radiologists. Mayo Clinic Proceedings: Digital Health 2026:100338 View

Books/Policy Documents

  1. Bueno de Mesquita J. Improving Societal Systems to End Tuberculosis. View