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Research on Body Voice AI Recognition System for Children's Health Management
Sponsor: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
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.
Official title: Intelligent Voice Model: A New Paradigm Exploration for Child Health Management
Key Details
Gender
All
Age Range
Any - 18 Years
Study Type
OBSERVATIONAL
Enrollment
30000
Start Date
2024-08-21
Completion Date
2025-12-30
Last Updated
2024-08-07
Healthy Volunteers
Yes
Interventions
Heart Auscultation and Echocardiography
Heart auscultation will be done by pediatrician and echocardiography by echocardiologist
Chest Auscultation and Chest imaging examinations
Chest auscultation will be done by pediatrician and chest imaging examinations by radiologist
Abdominal Auscultation and Abdominal imaging examinations
Abdominal auscultation will be done by pediatrician and chest imaging examinations by radiologist
Locations (5)
Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China
Human Children's Hospital
Changsha, Hunan, China
Xinhua Hospital,Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, China
Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine
Shanghai, Shanghai Municipality, China
Kunming children's Hospital
Kunming, Yunnan, China