AI system to analyze breathing in children with respiratory distress

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This multicenter prospective observational project collects clinical and visual respiratory data from children aged 0–12 presenting to pediatric emergency departments. Collected information includes demographics, presenting symptoms, initial vital signs, KTAS triage level, emergency management, outcomes (admission or discharge), and video recordings of respiratory patterns. Researchers will use these data to develop and validate a vision-language model–based AI system for automated analysis of pediatric respiratory patterns. The study is descriptive and does not change routine clinical care.

Why it matters

Who can join: the full rules

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.

Where it's running

• CHA Bundang Medical Center, CHA University, 9, Yatap-ro, Bundang-gu
  Seongnam-si, Gyeonggi-do, South Korea Recruiting
• Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu
  Seoul, Seoul, South Korea Recruiting
• Samsung Medical Center, 81, Irwon-ro, Gangnam-gu
  Seoul, Seoul, South Korea Recruiting

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.