Large language models (LLMs) are rapidly being adopted in healthcare, necessitating
standardized reporting guidelines. We present transparent reporting of a multivariable …

Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal
large language models (MLLMs) have attracted widespread attention for their exceptional …

While large language models (LLMs) have shown promise in diagnostic reasoning, their
impact on management reasoning, which involves balancing treatment decisions and …

Performance of large language models (LLMs) on medical tasks has traditionally been
evaluated using multiple choice question benchmarks. However, such benchmarks are …

Background Clinical decision-making (CDM) refers to physicians' ability to gather, evaluate,
and interpret relevant diagnostic information. An integral component of CDM is the medical …

Objectives We aimed to demonstrate the importance of establishing best practices in large
language model research, using repeat prompting as an illustrative example. Materials and …

Faced with challenging cases, doctors are increasingly seeking diagnostic advice from large
language models (LLMs). This study aims to compare the ability of LLMs and human …

Artificial intelligence (AI) methods were first developed nearly seven decades ago. Only in
recent years have they demonstrated their potential to improve clinical care at the bedside …

Introduction Artificial intelligence (AI) models trained on audio data may have the potential to
rapidly perform clinical tasks, enhancing medical decision-making and potentially improving …

Artificial intelligence (AI) has been growing more powerful and accessible, and will
increasingly impact many areas, including virtually all aspects of medicine and biomedical …