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

Formative Evaluation of Digital Health Interventions (2290) Artificial Intelligence (131) Imaging Informatics (193) Computer-Aided Diagnosis (110) Respiratory Medicine (71) Medical imaging (24)

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 Tweetations Metrics

Smriti Ridhi   1 * , MPH ;   Dennis Robert   2 * , MBBS, MMST ;   Pitamber Soren   3 , MPH ;   Manish Kumar   3 , PhD ;   Saniya Pawar   4 , BTech ;   Bhargava Reddy   4 , BTech

1 Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

2 Qure.ai, Bangalore, India

3 Innovators in Health, Bihar, India

4 Qure.ai, Mumbai, India

*these authors contributed equally

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