AI vs. doctors: can computers speed up fracture detection in busy ERs?
NCT ID NCT06754137
First seen Feb 02, 2026 · Last updated Jun 10, 2026 · Updated 18 times
Summary
This study tests whether artificial intelligence (AI) can help doctors find broken bones, joint fluid, bone lesions, and dislocations more accurately and quickly in an emergency room. About 4,800 patients with arm or leg injuries will be split into two groups: one where doctors read X-rays as usual, and another where AI assists them. The goal is to see if AI saves time and cuts healthcare costs without missing injuries.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Landesklinik Hallein, Salzburger Landeskliniken
NOT_YET_RECRUITINGHallein, 5400, Austria
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University Hospital Salzburg, Salzburger Landeskliniken
RECRUITINGSalzburg, 5020, Austria
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University Hosptial Nuremberg, Klinikum Nürnberg
RECRUITINGNuremberg, 90471, Germany
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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