Eye-Tracking study reveals whether AI should speak first or second in chest X-Ray reading

NCT ID NCT07675694

First seen Jun 30, 2026 · Last updated Jul 07, 2026 · Updated 3 times

Summary

This study investigates whether showing artificial intelligence (AI) results before or after a clinician first looks at a chest X-ray affects how they search the image, how accurate their diagnosis is, and how much they trust the AI. Healthcare professionals will wear eye-tracking glasses while reviewing de-identified chest X-rays in two sessions—one where AI output appears first, and one where it appears after their initial review. The goal is to understand the best way to integrate AI support into medical imaging without harming decision-making or efficiency.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to
If it works, this could help design AI tools that better support doctors' decision-making without slowing them down or reducing trust.
What could go wrong
This is a small, early-stage study with 24 participants in a controlled setting, not real clinical practice. Results may not apply broadly.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • University Hospitals of Leicester NHS Trust

    RECRUITING

    Leicester, Leicestershire, LE1 5WW, United Kingdom

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