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](https://asset.jmir.pub/assets/b1ac68bb7ca69b96fc92fcadb32cc058.png 480w,https://asset.jmir.pub/assets/b1ac68bb7ca69b96fc92fcadb32cc058.png 960w,https://asset.jmir.pub/assets/b1ac68bb7ca69b96fc92fcadb32cc058.png 1920w,https://asset.jmir.pub/assets/b1ac68bb7ca69b96fc92fcadb32cc058.png 2500w)
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