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AI Timing in Chest X-ray Interpretation Using Eye-Tracking

NCT07675694 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 24

Last updated 2026-07-06

No results posted yet for this study

Summary

Chest X-rays are commonly used to help diagnose and manage chest conditions. Artificial intelligence (AI) tools are increasingly being used to support chest X-ray interpretation. However, it is not yet clear whether the timing of AI information affects how clinicians review images, make decisions, and use AI support.

This study will look at whether showing AI information before or after a clinician first reviews a chest X-ray changes how they look at the image, how long they take, their interpretation decisions, their confidence, and their trust in AI support.

Healthcare professional participants will complete two chest X-ray interpretation sessions in a controlled NHS research setting. During each session, participants will review de-identified chest X-ray images while wearing eye-tracking equipment. Eye-tracking will record where a participant looks on the image and how long they spend looking at different areas.

In one session, AI information will be shown before the participant reviews the chest X-ray. In the other session, AI information will be shown after the participant has first reviewed the chest X-ray. The order of these two sessions will be balanced across participants.

The study uses de-identified chest X-ray images from existing examinations. It does not involve patients directly, does not change clinical care, and no clinical decisions will be made from the study readings. Participants will also complete a short questionnaire about their experience of using AI support. A separate anonymous survey will collect wider views from clinicians, patients, members of the public, and healthcare staff about the use of AI in chest X-ray interpretation.

Conditions

  • Diagnostic Imaging
  • Eye Tracking
  • Artificial Intelligence (AI)

Interventions

BEHAVIORAL

Original CXR First Timing

Participants first review the original chest X-ray without AI output and complete an initial structured interpretation response. AI output is then introduced, and participants may review or revise their response before submitting the final response for that case.

BEHAVIORAL

AI Output First Timing

Participants first view AI output before reviewing the original chest X-ray. The original chest X-ray is then introduced, and participants complete or revise their structured interpretation response before submitting the final response for that case.

Sponsors & Collaborators

  • University Hospitals, Leicester

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-06-30
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07675694 on ClinicalTrials.gov