Development of an AI Assessment System for Pediatric Respiratory Distress : A Prospective Study

Recruiting now

Conditions studied: Pediatric Respiratory Distress

In brief

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.

Key facts

Study ID

NCT07370623

Run by

Samsung Medical Center

People needed

2200

Starts

2025-10-28

Expected to finish

2027-12-01

Last updated by the study team

2026-03-20

Who can join

Age: any, up to 12. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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.

You may not qualify if…

• 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 is running

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

Full record on ClinicalTrials.gov

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