AI Timing in Chest X-ray Interpretation Using Eye-Tracking
Recruiting now · Not applicable
Conditions studied: Diagnostic Imaging, Eye Tracking, Artificial Intelligence (AI)
In brief
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.
Key facts
- Study ID
- NCT07675694
- Run by
- University Hospitals, Leicester
- People needed
- 24
- Starts
- 2026-06-30
- Expected to finish
- 2026-12-01
- Last updated by the study team
- 2026-07-06
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Main reader study:
- Healthcare professionals aged 18 years or over
- Registered to practise in the UK
- Employed by the NHS or another healthcare service operating in the UK
- Current or recent, within the last 3 years, clinical experience involving chest X-ray interpretation, review, or use in clinical practice
- Able to attend two onsite study sessions at University Hospitals of Leicester NHS Trust at mutually agreed times
- Able and willing to provide written informed consent
- Compatible with the eye-tracking equipment
- Supplementary survey:
- Adults aged 18 years or over
- Live in the UK or have used the NHS or another UK healthcare service within the last 5 years
- Able to provide informed electronic consent
- Belong to one of the following respondent groups: healthcare professionals or healthcare staff, patients or carers, or members of the public
- Healthcare professional respondents may include adults involved in requesting, interpreting, checking, or acting on chest X-ray findings in clinical practice
You may not qualify if…
- Main reader study:
- Inability to attend both onsite study sessions at University Hospitals of Leicester NHS Trust
- Eye-tracking incompatibility, such as visual, neurological, or physical conditions preventing adequate gaze tracking or participant comfort
- Direct involvement in selection, adjudication, or preparation of the chest X-rays used in the study
- Conflicts of interest, including direct involvement in development of the AI system under evaluation
- Prior participation in a closely related AI chest X-ray study where overlap in image sets or study procedures may compromise validity, assessed on a case-by-case basis
- Supplementary survey:
- Aged under 18 years
- Does not live in the UK and has not used the NHS or another UK healthcare service within the last 5 years
- Unable to provide informed electronic consent
- Does not meet one of the eligible respondent groups for the survey
Where it is running
- University Hospitals of Leicester NHS Trust — Leicester, Leicestershire, United Kingdom (enrolling)
Full record on ClinicalTrials.gov
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