Plain-English translation of NCT06963606 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This trial is testing whether a computer-assisted detection system called JF CXR-1 can help doctors spot signs of tuberculosis more accurately when reading chest X-rays. The study involves about 22,000 people in primary health care settings in China who have symptoms that could suggest tuberculosis. Some clinics will use the AI tool to help with X-ray analysis, while others will use standard care, so researchers can compare how well each approach works.
Tuberculosis is a serious infectious disease that can be hard to diagnose, especially in busy primary care clinics. This trial aims to see whether using artificial intelligence to assist doctors in analyzing chest X-rays can help catch more cases of tuberculosis early, leading to faster diagnosis and treatment.
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If you join this study, you will first complete a questionnaire about your health history, lifestyle, and symptoms. You will then have a chest X-ray taken at your clinic. In some clinics, a computer system will analyze your X-ray to help the doctor spot signs of tuberculosis; in others, the doctor will analyze it as usual. The doctor will review the results and decide if you need further tests. You may be asked to return for follow-up visits and additional examinations if needed.
AI-generated summary from trial data · Jun 3, 2026 · Not medical advice
China