Abstract Language models serve as a cornerstone in natural language processing, utilizing
mathematical methods to generalize language laws and knowledge for prediction and …

In low-and middle-income countries (LMICs), the fields of medicine and public health
grapple with numerous challenges that continue to hinder patients' access to healthcare …

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 …

Large language models (LLMs) are increasingly capable of providing users with advice in a
wide range of professional domains, including legal advice. However, relying on LLMs for …

Models such as GPT-4 and Med-PaLM 2 have demonstrated impressive performance on a
wide variety of biomedical NLP tasks. However, these models have hundreds of billions of …

Ultrasound imaging has a history of several decades. With its non-invasive, low-cost
advantages, this technology has been widely used in medicine and there have been many …

The capabilities of artificial intelligence (AI) have accelerated over the past year, and they
are beginning to impact healthcare in a significant way. Could this new technology help …

Recent breakthroughs in large language models (LLMs) offer unprecedented natural
language understanding and generation capabilities. However, existing surveys on LLMs in …

Background Teaching medical students the skills required to acquire, interpret, apply, and
communicate clinical information is an integral part of medical education. A crucial aspect of …

Importance General-domain large language models may be able to perform risk stratification
and predict postoperative outcome measures using a description of the procedure and a …