{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["27"],"submitter":["Jiang W"],"pubmed_abstract":["<h4>Background</h4>In resource-limited areas, severe shortages of radiologists contribute to high rates of missed pulmonary tuberculosis (PTB) cases when relying solely on conventional chest X-ray (CXR). Although artificial intelligence-powered computer-aided detection (CAD) has proven effective in PTB diagnosis, its real-world performance remains underexplored.<h4>Objective</h4>This study aimed to evaluate the real-world diagnostic yield of CAD technology as a triage tool for detecting PTB in primary health care facilities in high-burden areas.<h4>Methods</h4>We conducted a retrospective paired-design diagnostic yield study using CXR images collected from 7 county- and 32 township-level health care facilities in Yichang city between 2022 and 2024 year. All images were retrospectively repr"],"journal":["Journal of medical Internet research"],"pagination":["e83041"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12670047"],"repository":["biostudies-literature"],"pubmed_title":["AI-Powered Chest X-Ray for Diagnosing Pulmonary Tuberculosis in County and Township Health Care Facilities in Yichang: Retrospective, Real-World Study."],"pmcid":["PMC12670047"],"pubmed_authors":["Xiong J","Liu J","Shao J","Zhou P","Zhang H","Wang H","Yu J","Yang X","Li Z","Jiang W","Jiang X","Wang Y","Su X"],"additional_accession":[]},"is_claimable":false,"name":"AI-Powered Chest X-Ray for Diagnosing Pulmonary Tuberculosis in County and Township Health Care Facilities in Yichang: Retrospective, Real-World Study.","description":"<h4>Background</h4>In resource-limited areas, severe shortages of radiologists contribute to high rates of missed pulmonary tuberculosis (PTB) cases when relying solely on conventional chest X-ray (CXR). Although artificial intelligence-powered computer-aided detection (CAD) has proven effective in PTB diagnosis, its real-world performance remains underexplored.<h4>Objective</h4>This study aimed to evaluate the real-world diagnostic yield of CAD technology as a triage tool for detecting PTB in primary health care facilities in high-burden areas.<h4>Methods</h4>We conducted a retrospective paired-design diagnostic yield study using CXR images collected from 7 county- and 32 township-level health care facilities in Yichang city between 2022 and 2024 year. All images were retrospectively repr","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-06T07:35:23.024Z","creation":"2026-06-06T03:05:49.435Z"},"accession":"S-EPMC12670047","cross_references":{"pubmed":["41328508"],"doi":["10.2196/83041"]}}