Strategy for EArly Recognition of Cancer, COPD & Heart Failure in the Emergency Department

NCT07391280 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 25000

Last updated 2026-02-05

No results posted yet for this study

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.

Conditions

Interventions

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.

Sponsors & Collaborators

  • University of Glasgow

    collaborator OTHER
  • NHS Greater Glasgow and Clyde

    lead OTHER

Principal Investigators

  • David J Lowe · University of Glasgow

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-16
Primary Completion
2026-12-14
Completion
2026-12-14

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07391280 on ClinicalTrials.gov