Generative AI Model Evaluated for Chest X-Ray TB Screening
July 2, 2025
A study evaluates generative AI's performance in interpreting chest X-rays for tuberculosis screening in low-resource settings.
Key Details
- Researchers trained a generative AI model using two public TB chest radiograph datasets.
- The AI generated free-text reports and labeled images as showing presence/absence and laterality of TB-related abnormalities.
- Radiologists compared the model's reports to their own interpretations and judged report acceptability.
- Two additional radiologists established the reference standard for evaluation.
- Generative AI shows promise but still needs significant oversight before clinical deployment.
Why It Matters
Automating TB screening with generative AI could address radiologist shortages, especially in high-prevalence, low-resource settings. However, the need for oversight highlights ongoing challenges around accuracy, reliability, and safe adoption in clinical workflows.