Yunhua Li
Biographic Data
| ID | 7966051 |
|---|---|
| NAME | Yunhua Li |
| GIVEN NAMES | Yunhua |
| FAMILY NAME | Li |
| SIGNATURE | LI Y |
| AFFILIATIONS | Chengdu Medical College |
| ORCID | 0000-0001-6573-1267 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The effectiveness of artificial intelligence health education accurately linking system on self-management in non-specific lower back pain patients
Background: Integrating artificial intelligence (AI) with mobile health is revolutionizing chronic disease management. Non-specific lower back pain (NSLBP), a leading worldwide disabling condition, negatively impairs patient quality of life and psychological status. Standard treatments, mostly pharmacological and physiotherapies, do not offer long-term support for self-management. Consequently, we developed the AI-Health Education Accurately Link…
The effect of Artificial Intelligence Health Education Accurately Linking System on childhood asthma
The study is scheduled to begin in April 2025 and is expected to conclude in December 2026. This research protocol is the first version and was registered with the China Clinical Trial Registration Center on February 14, 2025 (Registration Number: ChiCTR2500097233)
No prominent works on this page.
The effectiveness of artificial intelligence health education accurately linking system on self-management in non-specific lower back pain patients
Background: Integrating artificial intelligence (AI) with mobile health is revolutionizing chronic disease management. Non-specific lower back pain (NSLBP), a leading worldwide disabling condition, negatively impairs patient quality of life and psychological status. Standard treatments, mostly pharmacological and physiotherapies, do not offer long-term support for self-management. Consequently, we developed the AI-Health Education Accurately Link…
The effect of Artificial Intelligence Health Education Accurately Linking System on childhood asthma
The study is scheduled to begin in April 2025 and is expected to conclude in December 2026. This research protocol is the first version and was registered with the China Clinical Trial Registration Center on February 14, 2025 (Registration Number: ChiCTR2500097233)
Alternative medicine (2 works) · Digital Mental Health Interventions (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Asthma (1 work) · Back pain (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Health education (1 work) · Health, Environment, Cognitive Aging (1 work) · Internal Medicine (1 work)