Although chatbots have existed for decades, the emergence of transformer-based large
language models (LLMs) has captivated the world through the most recent wave of artificial …

With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

Background The latest large language models (LLMs) solve unseen problems via user-
defined text prompts without the need for retraining, offering potentially more efficient …

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

Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs)
represent sophisticated models engineered to comprehend, generate, and manipulate text …

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 recent success of general-domain large language models (LLMs) has significantly
changed the natural language processing paradigm towards a unified foundation model …

Purpose The noteworthy performance of Chat Generative Pre-trained Transformer
(ChatGPT), an artificial intelligence text generation model based on the GPT-4 architecture …

Objective To perform a detailed qualitative and quantitative analysis of the published
literature on ChatGPT and radiology in the nine months since its public release, detailing the …

Background Large language models such as GPT-4 (Generative Pre-trained Transformer 4)
are being increasingly used in medicine and medical education. However, these models are …