AI-assisted chest X-rays to help spot heart and lung problems in the ED
Official title: Strategy for EArly Recognition of Cancer, COPD & Heart Failure in the Emergency Department
Run by NHS Greater Glasgow and Clyde · NCT07391280 · Data updated 2026-11-12
A computer-aided tool is being tested to see if it helps doctors diagnose heart and lung issues from chest X-rays in adults who visit the emergency department.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 17000 (estimated) |
| Sponsor | NHS Greater Glasgow and Clyde Academic / other |
| Locations | 1 site (Glasgow) |
| Status | Recruiting |
| Started | May 25, 2026 |
| Main results expected | June 2027 |
| Study ends | June 2027 |
| Registry record updated | June 1, 2026 |
| Trial ID | NCT07391280 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) presenting to the ED with a chest X-ray at QEUH who meet inclusion criteria.
✕Probably not a fit
Patients whose diagnoses are not influenced by the AI output or who do not have a heart or lung condition may not receive additional benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study evaluates whether an AI chest X-ray solution can help ED clinicians make earlier or more accurate diagnoses of heart and lung problems, including COPD, heart failure, and lung cancer. It compares diagnostic outcomes when doctors have access to the AI results versus when they do not. The trial is conducted at the Queen Elizabeth University Hospital in Glasgow and uses the Harrison AI chest X-ray software. Participants are adults undergoing chest X-rays in the ED, with separate focus groups for patients and clinicians. The study has ethical approvals and builds on prior safety testing of the AI tool in multiple regions.
Why it matters
Potential benefit: If successful, the AI tool could help clinicians diagnose heart and lung conditions sooner, potentially improving patient outcomes.
How similar studies have gone: Previous research has shown potential for AI-assisted CXR interpretation, but results vary by setting and condition.
Who can join: the full rules
Show full inclusion / exclusion criteria
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
Where it's running
-
Queen Elizabeth University Hospital
Glasgow, United Kingdom Recruiting
Study contacts
- Principal investigator: David J Lowe — University of Glasgow
- Study coordinator: Clea Du Toit
- Email: clea.dutoit@nhs.scot
- Phone: 0141 314 4328
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.