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September 5, 2025Open Access

Real-World Performance of AI-Powered Chest X-Ray Screening for Pulmonary Tuberculosis across County and Township Healthcare Facilities in Yichang, China, 2022-2024 (Preprint)

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Authors

WJWenjie JiangHZHao ZhangZLZhili Li

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Overview

Diagnostic accuracy of AI in PTB screening is evaluated in primary healthcare, suggesting potential resource optimization.

Key Points

  • CAD outperformed radiologists with an 83.88% diagnostic yield, revealing effective potential for AI in PTB detection.
  • Among 93,319 patients, CAD showed a significant workload reduction of 85.52% without missing any PTB cases identified by radiologists.
  • Retrospective paired-design study assessed diagnostic accuracy of CAD technology across 39 healthcare facilities in Yichang.
  • Findings indicate CAD improves tuberculosis screening effectiveness amid resource limitations, advocating for expanded usage in primary care.

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/68c238d2b210217d647798a9https://doi.org/10.2196/preprints.83041
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