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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 2,200 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Oct 2025
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of pediatric patients aged 0 to 12 years who visit the pediatric emergency departments of participating institutions. Clinical data, including basic demographic characteristics (e.g., sex, age, body weight, height), severity at presentation (e.g., KTAS level), vital signs, and emergency department management and outcomes (e.g., admission or discharge), as well as visual respiratory data, are collected during emergency care and used for the development and evaluation of a vision-language model-based system for automated assessment of pediatric respiratory patterns.
- Ages
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0 to 12 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Pediatric patients aged 0 to 12 years who present to participating pediatric emergency departments. * Patients for whom clinical data, including basic demographic characteristics (e.g., age, body weight), severity at presentation (e.g., KTAS level), vital signs, emergency department management and outcomes, as well as visual respiratory data, are available during emergency care. Exclusion Criteria: * Patients outside the specified age range. * Patients with insufficient or poor-quality clinical or visual respiratory data. * Patients whose data cannot be used due to withdrawal of consent or regulatory restrictions.
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
3 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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