Mingxue Huang
Biographic Data
| ID | 10011787 |
|---|---|
| NAME | Mingxue Huang |
| GIVEN NAMES | Mingxue |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG M |
| AFFILIATIONS | Southwest Medical University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Comparative performance of large language models for patient-initiated ophthalmology consultations
Background: Large language models (LLMs) are increasingly accessed by lay users for medical advice. This study aims to conduct a comprehensive evaluation of the responses generated by five large language models. Methods: We identified 31 ophthalmology-related questions most frequently raised by patients during routine consultations and subsequently elicited responses from five large language models: ChatGPT-4o, DeepSeek-V3, Doubao, Wenxin Yiyan 4…
Assessing the quality of educational short videos on dry eye care
Background: Short video social media platforms play a crucial role in public health by effectively disseminating health information. Despite this, many educational videos on dry eye care have not received sufficient attention. This study aimed to conduct a comprehensive analysis and evaluate the quality of educational short videos on dry eye care available on TikTok. Methods: On August 30, 2024, the top 200 videos related to dry eye were viewed f…
Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China
Objectives The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This study aimed to explore the knowledge, attitudes, and concerns of healthcare professionals, AI-related professionals, and others in China toward AI in nursing. Methods We conducted an online cross-sectio…
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Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China
Objectives The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This study aimed to explore the knowledge, attitudes, and concerns of healthcare professionals, AI-related professionals, and others in China toward AI in nursing. Methods We conducted an online cross-sectio…
Comparative performance of large language models for patient-initiated ophthalmology consultations
Background: Large language models (LLMs) are increasingly accessed by lay users for medical advice. This study aims to conduct a comprehensive evaluation of the responses generated by five large language models. Methods: We identified 31 ophthalmology-related questions most frequently raised by patients during routine consultations and subsequently elicited responses from five large language models: ChatGPT-4o, DeepSeek-V3, Doubao, Wenxin Yiyan 4…
Assessing the quality of educational short videos on dry eye care
Background: Short video social media platforms play a crucial role in public health by effectively disseminating health information. Despite this, many educational videos on dry eye care have not received sufficient attention. This study aimed to conduct a comprehensive analysis and evaluate the quality of educational short videos on dry eye care available on TikTok. Methods: On August 30, 2024, the top 200 videos related to dry eye were viewed f…
Artificial Intelligence in Healthcare and Education (2 works) · Cross-sectional study (2 works) · Health Literacy and Information Accessibility (2 works) · Medicine (2 works) · AI in Service Interactions (1 work) · China (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Clinical trial (1 work) · Computer Science (1 work) · Ethics and Social Impacts of AI (1 work)