Over the last decade, technological advancements, especially artificial intelligence (AI),
have significantly transformed educational practices. Recently, the development and …

Methods: The ResStudy orthopaedic examination question bank was used as the primary
source of questions. One hundred eighty questions and answer choices from nine different …

Summary Background Large language models (LLMs) are garnering wide interest due to
their human-like and contextually relevant responses. However, LLMs' accuracy across …

Background As artificial intelligence (AI) tools become widely accessible, more patients and
medical professionals will turn to them for medical information. Large language models …

One of the major barriers to using large language models (LLMs) in medicine is the
perception they use uninterpretable methods to make clinical decisions that are inherently …

METHODS: The Self-Assessment Neurosurgery Examinations (SANS) American Board of
Neurological Surgery Self-Assessment Examination 1 was used to evaluate ChatGPT and …

Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and
ethical implications in paper drafting and review process Skip to content Should you have …

Purpose Bard by Google, a direct competitor to ChatGPT, was recently released.
Understanding the relative performance of these different chatbots can provide important …

Purpose Herein, we assessed the accuracy of large language models (LLMs) in generating
responses to questions in clinical radiology practice. We compared the performance of …

The integration of large language models (LLMs) into clinical diagnostics has the potential to
transform doctor–patient interactions. However, the readiness of these models for real-world …