AI reads chest X-Rays in the ER to catch silent killers early
NCT ID NCT07391280
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether an AI program can help emergency doctors find undiagnosed heart failure, COPD, and cancer by analyzing chest X-rays. Researchers will compare diagnosis rates when doctors have access to the AI's findings versus when they don't. The trial involves 17,000 adults in one hospital's emergency department.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Harrison.ai Chest X-Ray Solution (AI software)
- What this could lead to
- If successful, this AI tool could help emergency doctors catch serious heart and lung diseases earlier, potentially improving treatment and outcomes.
- What could go wrong
- This is a large but early-stage study testing a new AI tool. It may not improve diagnosis rates, and the AI could miss or misread findings, leading to false alarms or missed cases.
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
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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
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About 17,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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May 2026
- Expected to finish
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Jun 2027
An estimate. End dates often move.
- Lead sponsor
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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
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide 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: Unconsented Use of Harrison CXR Algorithm in Emergency Department (ED): * Frontal Chest X-Ray (CXR) (AP or PA) acquired in the Queen Elizabeth University Hospital (QEUH) ED * Patients aged 18 or over * Appropriate meta data (DICOM) to allow for Harrison CXR processing and secondary capture report provision. Patient Focus Groups: * Aged 18 or over * Able to provide written, informed consent in English. Clinician Focus Groups: * Aged 18 or over * Able to provide written, informed consent in English. * Working as a doctor, advanced nurse practitioner or advanced clinical practitioner in ED, radiology or downstream medical specialties * For post-implementation focus groups only, must have at least 4 months experience of working with Harrison CXR algorithm. Diagnostic Clinic: * Patients without terminal illness or advanced frailty * Usual healthcare provider based in NHS GGC Exclusion Criteria: Applies to use of unconsented CXRs: \- Patient has requested that they are removed from the study, or has objected to the use of AI in their routine clinical care and this has been subsequently upheld by the health board. Applies to invitation to combined diagnostic clinic: * Patients not available to follow up, including patients i.e. whose the patient's usual care (or onward care following index admission) is out-with NHS GGC. * Patients who have been referred to palliative care for end-stage disease, or patients with severe frailty (i.e. bedbound) will not be invited to the combined diagnostic clinic For Patient and Clinician Focus Groups: * Unable to provide informed written consent in English * Aged \<18
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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
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Queen Elizabeth University Hospital
RECRUITINGGlasgow, United Kingdom
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