To the Editor In their recent Research Letter in JAMA Oncology, Chen and colleagues1
evaluated the large language model (LLM) GPT-3.5-turbo-0301 model via the ChatGPT …

In Reply We thank Schulte for highlighting the issue of robustness to prompt variation and
design when studying large language models (LLMs) in comments on our Research Letter …

Importance Clinical interpretation of complex biomarkers for precision oncology currently
requires manual investigations of previous studies and databases. Conversational large …

Importance Large language models (LLMs) recently developed an unprecedented ability to
answer questions. Studies of LLMs from other fields may not generalize to medical …

To the Editor We read with great interest the recent study by Chen et al1 that compared the
responses generated by artificial intelligence (AI) chatbots and licensed physicians to …

The medical world is now enamored with our newest potential helper, large language
models (LLMs) and in particular chatbots, such as ChatGPT, a service offering from OpenAI …

e13609 Background: Precision oncology revolutionized cancer treatment by identifying
molecular biomarkers to guide personalized care. The ever-growing body of medical …

Methods| We developed 4 zero-shot prompt templates to query treatment recommendations
(eMethods and eFigure in Supplement 1). These templates do not provide the model with …

Importance Artificial intelligence (AI) large language models (LLMs) demonstrate potential in
simulating human-like dialogue. Their efficacy in accurate patient-clinician communication …

Large language models (LLMs), exemplified by chatbots such as ChatGPT, 1 have garnered
significant attention in health care for their seemingly human-like abilities to process …