AI could help doctors diagnose lung cancer faster during a bronchoscopy
NCT ID NCT07662967
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests an artificial intelligence (AI) prototype designed to quickly evaluate tissue samples taken during a bronchoscopy, a procedure used to diagnose lung cancer. The AI analyzes microscope images of the samples to determine if they are adequate for diagnosis and whether they appear benign or malignant. The study involves 65 adults undergoing bronchoscopy, and the AI's results are compared to the final lab diagnosis. This is a pilot study to see if the AI works well enough to be tested in larger trials.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence prototype for digital rapid on-site evaluation
- What this could lead to
- If successful, this AI could help doctors quickly determine if a tissue sample is adequate for diagnosis, potentially reducing the need for repeat procedures and speeding up lung cancer detection.
- What could go wrong
- This is a small, early pilot study with 65 participants. The AI is not yet approved for medical use and is only being tested for research. It may not perform as well in real-world settings.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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