AI as a second set of eyes: could it sharpen pneumonia detection on chest X-Rays?
NCT ID NCT07744555
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This trial tests whether an artificial intelligence system can help less-experienced doctors—like final-year medical students and early-career general practitioners—interpret chest X-rays more accurately. Participants will read the same set of X-rays twice: once with AI assistance and once without, to see if the AI improves their ability to spot and classify pulmonary opacities (signs of pneumonia). The study focuses on diagnostic accuracy and confidence, not on treatment decisions.
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-based expert system for computer-aided interpretation of chest radiographs
- What this could lead to
- If it works, this could lead to a practical tool that helps less-experienced doctors spot pneumonia on chest X-rays more accurately, potentially improving diagnosis in settings where expert radiologists are scarce.
- What could go wrong
- This is a small study (50 participants) and the AI is only a decision-support tool—doctors still make the final call. The results may not generalize to all clinical settings, and the AI could potentially mislead if its output is incorrect.
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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.
Contacts and locations
Locations
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Clínica Universidad de La Sabana
Chía, Cundinamarca, 111321, Colombia
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