Trials / Not Yet Recruiting
Not Yet RecruitingNCT07391280
Strategy for EArly Recognition of Cancer, COPD & Heart Failure in the Emergency Department
- Status
- Not Yet Recruiting
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 25,000 (estimated)
- Sponsor
- NHS Greater Glasgow and Clyde · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
SEARCH-ED is a research study which is running in Emergency Department (ED) of the Queen Elizabeth University Hospital. The aim of the study is to find out if using a computer programme can help doctors diagnose heart and lung problems from chest x-rays. We want to compare how many people are diagnosed with heart or lung problems for the first time when doctors have access to the computer programme results, in comparison to when they don't.
Detailed description
SEARCH-ED is a research study which is running in Emergency Department (ED) of the Queen Elizabeth University Hospital. The aim of the study is to find out if using an artificial intelligence (AI) computer programme can help doctors diagnose heart and lung problems from chest x-rays. The computer programme is made by Annalise Enterprise. It is approved for use in the United Kingdom (UK), United States of America (US) and The European Union (EU). Studies have been carried out previously to make sure it is safe to use and that it can detect signs of heart and lung problems. Many people who come to ED have a chest x-ray. Chest x-rays can show signs of heart or lung problems, which might be causing a patient's symptoms. All doctors can interpret chest x-rays. However, doctors who specialise in interpreting scans (radiologists) also provide an expert report for chest x-rays, describing what they have found. It can take a long time for chest x-ray reports to come back. Sometimes, doctors might miss signs of heart or lung problems. We want to see if using a computer programme to help doctors interpret chest x-rays could lead to more patients getting an accurate diagnosis. We want to compare how many people are diagnosed with heart or lung problems (Chronic obstructive pulmonary disease \[COPD\], heart failure or lung cancer) for the first time when doctors have access to the computer programme results, in comparison to when they don't. Patients older than 18 who have a chest x-ray in ED will be included. Patients with chest x-rays flagged by the computer programme for heart failure or COPD will be invited to an outpatient clinic for further assessment post-discharge, providing they have not been referred for testing or had testing previously. All patients with chest x-rays flagged for lung cancer will be reviewed and acted on by the study radiologist.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | Annalise.AI Chest X-Ray Solution | The Annalise Enterprise (AE) CXR module is an AI-driven clinical decision support tool that is designed to augment clinical interpretation of CXRs. It is a Class IIb CE-marked device which is able to detect up to 124 findings on a CXR. |
Timeline
- Start date
- 2026-02-16
- Primary completion
- 2026-12-14
- Completion
- 2026-12-14
- First posted
- 2026-02-05
- Last updated
- 2026-02-05
Source: ClinicalTrials.gov record NCT07391280. Inclusion in this directory is not an endorsement.