AI learns to read Children's breathing in the ER
NCT ID NCT07370623
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is collecting data from 2,200 children aged 0 to 12 who come to emergency rooms with breathing problems. Researchers will use videos and clinical information to train an artificial intelligence system to automatically recognize different breathing patterns. The goal is to create a tool that helps doctors assess respiratory distress more objectively and quickly.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to an AI tool that helps doctors quickly and objectively assess breathing problems in children, potentially improving emergency care.
- What could go wrong
- This is an early observational study focused on data collection and AI development, not a treatment trial. The AI system may not perform accurately enough for real-world use, and results may not apply to all hospitals.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu
RECRUITINGSeoul, Seoul, 05505, South Korea
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CHA Bundang Medical Center, CHA University, 9, Yatap-ro, Bundang-gu
RECRUITINGSeongnam-si, Gyeonggi-do, 13496, South Korea
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Samsung Medical Center, 81, Irwon-ro, Gangnam-gu
RECRUITINGSeoul, Seoul, 06351, South Korea