Large language models (LLMs) underlie remarkable recent advanced in natural language
processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate …

Objective To evaluate the clinical potential of large language models (LLMs) in
ophthalmology using a more robust benchmark than raw examination scores. Materials and …

Large language models (LLMs) show great promise in assisting clinicians in general, and
ophthalmology in particular, through knowledge synthesis, decision support, accelerating …

Purpose With the introduction of ChatGPT, artificial intelligence (AI)‐based large language
models (LLMs) are rapidly becoming popular within the scientific community. They use …

IMPORTANCE The response effectiveness of different large language models (LLMs) and
various individuals, including medical students, graduate students, and practicing …

Importance Large language models (LLMs) are revolutionizing medical diagnosis and
treatment, offering unprecedented accuracy and ease surpassing conventional search …

PURPOSE To investigate the ability of generative artificial intelligence models to answer
ophthalmology board–style questions. DESIGN Experimental study. METHODS This study …

In recent years, ophthalmology has advanced significantly, thanks to rapid progress in
artificial intelligence (AI) technologies. Large language models (LLMs) like ChatGPT have …

Background Large language models (LLMs) are fast emerging as potent tools in healthcare,
including ophthalmology. This systematic review offers a twofold contribution: it summarises …

The rapid progress of large language models (LLMs) driving generative artificial intelligence
applications heralds the potential of opportunities in health care. We conducted a review up …