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

We did not observe any statistically significant differences in the output of AI in digital CXRs and photos of digital CXR films.

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Publication Details

Journal
JMIR Formative Research
Published
2024-08-21
DOI
https://doi.org/10.2196/55641
Citations
7
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
2.83
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article

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

Bhargava Reddy, Dennis Robert, Pitamber Soren, Manish Kumar et al.
7 citations
JMIR Formative Research
COVID-19 diagnosis using AI
2.83
article

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

Bhargava Reddy, Dennis Robert, Pitamber Soren, Manish Kumar, Smriti Ridhi, Saniya Pawar
article en
7 citations

Abstract

We did not observe any statistically significant differences in the output of AI in digital CXRs and photos of digital CXR films.

JMIR Formative ResearchVol. 8
Johns Hopkins University (US), Babasaheb Bhimrao Ambedkar Bihar University (IN), Qarshi University (PK)
Good health and well-being
Openalex Percentile: Top 9%
COVID-19 diagnosis using AI
2.83
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