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

NCT ID NCT07675694

Knowledge-focused Sponsor: University Hospitals, Leicester Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 24 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jun 2026

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 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 Exclusion Criteria: 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

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As listed by the trial registrant

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

Artificial intelligence (AI) Diagnostic imaging Eye tracking

How to take part

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  1. The places running it

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  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • University Hospitals of Leicester NHS Trust

    RECRUITING

    Leicester, Leicestershire, LE1 5WW, United Kingdom

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