An Artificial Intelligence Assessment System for Risk Grading of Sarcopenia Based on Ultrasonographic Multidimensional Data
Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
SUMMARY
1. To develop an artificial intelligence assisted diagnostic model for sarcopenia based on ultrasound images; 2. To develop artificial intelligence classification and regression models for auxiliary diagnosis of sarcopenia, patient strength estimation, and other functions based on ultrasound image data.
Eligibility
Participation Requirements
Sex: All
Maximum Age: 100
Healthy Volunteers: t
View:
• \> 50 years of age
• Patients with suspected sarcopenia, for example, who needed assistance with walking, rising from a chair, or climbing stairs; recently had a history of falls walking; recent unintentional weight loss
Locations
Other Locations
China
Xinyi Tang
RECRUITING
Chengdu
Contact Information
Primary
Xinyi Tang, Dr.
tangxinyi1996@outlook.com
+8615680819215
Time Frame
Start Date: 2020-10-01
Estimated Completion Date: 2028-12
Participants
Target number of participants: 1500
Treatments
Hospitalized older adults at risk of sarcopenia
Community-dwelling older adults at risk of sarcopenia
Related Therapeutic Areas
Sponsors
Leads: West China Hospital