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

NCT07370623 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2200

Last updated 2026-03-20

No results posted yet for this study

Summary

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.

Conditions

  • Pediatric Respiratory Distress

Sponsors & Collaborators

  • Samsung Medical Center

    lead OTHER

Eligibility

Min Age
0 Years
Max Age
12 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-10-28
Primary Completion
2027-12-31
Completion
2027-12-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07370623 on ClinicalTrials.gov