Research on Body Voice AI Recognition System for Children's Health Management
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeUp to 18
SponsorXinhua Hospital, Shanghai Jiao Tong University School of Medicine
About this trial
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.
Eligibility criteria
Qualifiers
Age 0~18 years old, gender is not limited
Children who have been diagnosed with congenital heart disease by cardiac ultrasound or who do not have congenital heart disease
Children diagnosed with bronchopneumonia or without bronchopneumonia
Children who are clinically diagnosed with intestinal diseases or who do not suffer from intestinal diseases
Disqualifiers
≥ 18 years old
Children who are unable to undergo cardiac ultrasound, chest imaging or other related examinations
Subjects who are unable to obtain informed consent, or who are unwilling to cooperate with the provision of diagnosis and treatment related data for further analysis and research as required by the study.
Trial design
Treatments tested in this trial
- Heart Auscultation and Echocardiography
- Chest Auscultation and Chest imaging examinations
- Abdominal Auscultation and Abdominal imaging examinations
Treatment groups
30,000 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov