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Research on Body Voice AI Recognition System for Children's Health Management

NCT06542120 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 30000

Last updated 2024-08-07

No results posted yet for this study

Summary

The purpose of this research is to develop a body voice artificial intelligence (AI) recognition device, also referred to as an AI-assisted body sound identification device, by utilizing a deep learning-based novel AI algorithm in conjunction with a big body voice model. It could identify normal and abnormal heart, breath, and bowel sounds, and to provide early screening and auxiliary diagnosis of congenital heart disease (CHD), respiratory infections, diarrhea and other common multi-occurring diseases.

Conditions

  • Congenital Heart Disease
  • Bronchopneumonia
  • Abdominal Disease

Interventions

DIAGNOSTIC_TEST

Heart Auscultation and Echocardiography

Heart auscultation will be done by pediatrician and echocardiography by echocardiologist

DIAGNOSTIC_TEST

Chest Auscultation and Chest imaging examinations

Chest auscultation will be done by pediatrician and chest imaging examinations by radiologist

DIAGNOSTIC_TEST

Abdominal Auscultation and Abdominal imaging examinations

Abdominal auscultation will be done by pediatrician and chest imaging examinations by radiologist

Sponsors & Collaborators

  • Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

    lead OTHER

Principal Investigators

  • Xin Sun, MD · Xinhua Hospital, Shanghai J iao Tong University School of Medicine

Eligibility

Max Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-08-21
Primary Completion
2025-07-31
Completion
2025-12-30

Countries

  • China

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 NCT06542120 on ClinicalTrials.gov