43 citations · 211 across the 38 of their papers we have counts for
5 papers · 2 filters
Ophtha-LLaMA2: A Large Language Model for Ophthalmology
Huan Zhao, Qian Ling, Yi Pan +14
In recent years, pre-trained large language models (LLMs) have achieved tremendous success in the field of Natural Language Processing (NLP). Prior studies have primarily focused o…
Evaluating Large Language Models in Ophthalmology
Jason Holmes, Shuyuan Ye, Yiwei Li +11
Purpose: The performance of three different large language models (LLMS) (GPT-3.5, GPT-4, and PaLM2) in answering ophthalmology professional questions was evaluated and compared wi…
Evaluating multiple large language models in pediatric ophthalmology
Jason Holmes, Rui Peng, Yiwei Li +10
IMPORTANCE The response effectiveness of different large language models (LLMs) and various individuals, including medical students, graduate students, and practicing physicians, i…
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions
Xinyu Gong, Jason Holmes, Yiwei Li +11
Recent advances in Large Language Models (LLMs) have presented new opportunities for integrating Artificial General Intelligence (AGI) into biological research and education. This…
PharmacyGPT: The AI Pharmacist
Zhengliang Liu, Zihao Wu, Mengxuan Hu +12
In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical ph…