Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in the Philippines

Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in the Philippines

Abstract Background The Philippines’ high tuberculosis (TB) burden calls for effective point-of-care screening. Systematic TB case finding using chest X-ray (CXR) with computer-aided detection powered by deep learning-based artificial intelligence (AI-CAD) provided this opportunity. We aimed to comp...

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Bibliographic Details
Main Authors: Nichel Marquez, Erwin John Carpio, Mary Rosary Santiago, Jeremiah Calderon, Ruth Orillaza-Chi, Shawnee Shaine Salanap, Lisa Stevens
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Global and Public Health
Subjects:
Tuberculosis
Computer-aided detection
Chest X-ray
Precision–recall curve
Receiver operating curve
Online Access:https://doi.org/10.1186/s44263-025-00198-y
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https://doi.org/10.1186/s44263-025-00198-y

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