AI learns to spot breathing trouble in kids at the ER
NCT ID NCT07370623
First seen Jan 27, 2026 · Last updated May 16, 2026 · Updated 17 times
Summary
This study is collecting data from 2,200 children (ages 0-12) who visit the emergency room with breathing problems. Researchers will use videos and medical information to train an artificial intelligence system to automatically recognize different breathing patterns. The goal is to help doctors make faster and more accurate assessments of respiratory distress in children.
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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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Locations
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Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu
RECRUITINGSeoul, Seoul, 05505, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
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CHA Bundang Medical Center, CHA University, 9, Yatap-ro, Bundang-gu
RECRUITINGSeongnam-si, Gyeonggi-do, 13496, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Samsung Medical Center, 81, Irwon-ro, Gangnam-gu
RECRUITINGSeoul, Seoul, 06351, South Korea
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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