Research on Body Voice AI Recognition System for Children's Health Management
Key facts
- Where
- Changsha, Kunming, Shanghai, and Wuhan, ChinaSee the 5 sites
Where in China
- Human Children's HospitalChangsha, ChinaContact: Zhi Chen, MDTaking people
- Kunming Children's HospitalKunming, ChinaContact: Jieqing MinTaking people
- Shanghai Children's Medical Center affiliated to Shanghai Jiaotong University School of MedicineShanghai, ChinaContact: Yiwei Chen, MDTaking people
- Xinhua Hospital, Shanghai Jiao Tong University School of MedicineShanghai, ChinaContact: Xin Sun, MDTaking people
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and TechnologyWuhan, ChinaContact: Yong ZhangTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
- Trial code
- NCT06542120
- Record updated
- 12 August 2026
- Original description
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.Read full original descriptionShow less
Intelligent Voice Model: A New Paradigm Exploration for Child Health Management
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.
Inclusion: 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; Informed consent.
Exclusion: Children who are unable to undergo cardiac ultrasound, chest imaging or other related examinations; ≥ 18 years old; 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.