A5101313498- Retinal Imaging and Analysis
- Artificial Intelligence in Healthcare and Education
- Electronic Health Records Systems
- AI in Service Interactions
- Gaze Tracking and Assistive Technology
- Social Media in Health Education
- Ophthalmology and Visual Health Research
Hong Kong Polytechnic University
2024
Artificial intelligence (AI) has gained significant attention in healthcare consultation due to its potential improve clinical workflow and enhance medical communication. However, owing the complex nature of information, large language models (LLM) trained with general world knowledge might not possess capability tackle medical-related tasks at an expert level. Here, we introduce EyeGPT, a specialized LLM designed specifically for ophthalmology, using three optimization strategies including...
Large language models (LLMs) have the potential to enhance clinical flow and improve medical education, but they encounter challenges related specialized knowledge in ophthalmology.
<sec> <title>BACKGROUND</title> Large language models (LLMs) have the potential to enhance clinical flow and improve medical education, but they encounter challenges related specialized knowledge in ophthalmology. </sec> <title>OBJECTIVE</title> This study aims ophthalmic by refining a general LLM into an ophthalmology-specialized assistant for patient inquiries education. <title>METHODS</title> We transformed Llama2 LLM, termed EyeGPT, through following 3 strategies: prompt engineering...