Rongkang Li
Biographic Data
| ID | 10014712 |
|---|---|
| NAME | Rongkang Li |
| GIVEN NAMES | Rongkang |
| FAMILY NAME | Li |
| SIGNATURE | LI R |
| AFFILIATIONS | Lanzhou University Second Hospital |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Evaluation of validity, reliability, and readability of AI chatbots for gestational diabetes mellitus
Background: Gestational diabetes mellitus (GDM) is increasingly prevalent worldwide and is associated with substantial short- and long-term risks for mothers and offspring, making high-quality, accessible health information essential. At the same time, artificial intelligence (AI) chatbots based on large language models are being widely used for health queries, yet their accuracy, reliability and readability in the context of GDM remain unclear. …
No prominent works on this page.
Evaluation of validity, reliability, and readability of AI chatbots for gestational diabetes mellitus
Background: Gestational diabetes mellitus (GDM) is increasingly prevalent worldwide and is associated with substantial short- and long-term risks for mothers and offspring, making high-quality, accessible health information essential. At the same time, artificial intelligence (AI) chatbots based on large language models are being widely used for health queries, yet their accuracy, reliability and readability in the context of GDM remain unclear. …
Alternative medicine (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Chatbot (1 work) · Gestational diabetes (1 work) · Gestational Diabetes Research and Management (1 work) · Mobile Health and mHealth Applications (1 work) · Patient education (1 work) · Readability (1 work)