Development of an AI Assessment System for Pediatric Respiratory Distress : A Prospective Study
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Pediatric Respiratory Distress. Basic parameters: 0 years — 12 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- South Korea
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
This is a multicenter, prospective observational study designed to collect clinical data for the development of a vision-language model-based artificial intelligence system for automated assessment of pediatric respiratory patterns. The study enrolls pediatric patients aged 0 to 12 years who present to the pediatric emergency departments of participating institutions. Clinical and visual respiratory data are collected along with baseline clinical characteristics, including sex, age, body weight, height, presenting symptoms recorded at emergency department arrival, initial vital signs (body temperature, pulse rate, respiratory rate, blood pressure, and oxygen saturation), severity at presentation assessed by the Korean Triage and Acuity Scale (KTAS), emergency department management and outcomes such as hospital admission or discharge, and other relevant clinical information. These data are used for cohort characterization and for the development and evaluation of an AI-based system that aims to automatically analyze pediatric respiratory patterns and support objective respiratory assessment in pediatric emergency care.
Primary outcome measures
- Accuracy of automated respiratory pattern assessment [Time frame: From study start through study completion (up to December 2027)]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
South Korea · 3 centers
- CHA Bundang Medical Center, CHA University, 9, Yatap-ro, Bundang-gu — Seongnam-si
- Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu — Seoul
- Samsung Medical Center, 81, Irwon-ro, Gangnam-gu — Seoul
Identifiers
NCT: NCT07370623 · 2025-09-191