Plain-English translation of NCT07391280 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
SEARCH-ED is a study running in the emergency department at Queen Elizabeth University Hospital that tests whether an AI computer programme called Harrison CXR can help doctors diagnose heart failure, chronic obstructive pulmonary disease (COPD), and lung cancer from chest X-rays. The study will compare how many patients get diagnosed with these conditions when doctors have access to the AI's results versus when they don't. This could help catch serious illnesses faster and more reliably.
Chest X-rays are commonly used in emergency departments, but waiting for specialist doctors to review them takes time, and sometimes important signs of heart or lung disease are missed. This study aims to see if AI can speed up diagnosis and catch conditions that might otherwise be overlooked, leading to faster treatment for patients.
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If you have a chest X-ray in the emergency department, it will be analyzed by the AI programme. Depending on the results and which group you're in, you may be invited to attend an outpatient clinic for further assessment after you leave the hospital. The study also includes interviews with some patients and doctors to understand how well the AI tool works in real-world practice.
AI-generated summary from trial data · Jun 5, 2026 · Not medical advice
United Kingdom