AI-Powered Chest X-Ray for Diagnosing Pulmonary Tuberculosis in County and Township Health Care Facilities in Yichang: Retrospective, Real-World Study.

ABSTRACT:

Background

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.

Objective

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.

Methods

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

SUBMITTER: Jiang W 

PROVIDER: S-EPMC12670047 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature