Methods A comprehensive literature search was conducted on the Web of Science and
PubMed databases from 2013 to 2023, focusing on the transformations of LLMs in Medical …

This review paper aims to serve as a comprehensive guide and instructional resource for
researchers seeking to effectively implement language models in medical imaging research …

In this paper, we aimed to provide a review and tutorial for researchers in the field of medical
imaging using language models to improve their tasks at hand. We began by providing an …

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 …

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 …

Abstract The advent of Deep Learning (DL) has significantly propelled the field of diagnostic
radiology forward by enhancing image analysis and interpretation. The introduction of the …

In this study, we uncover the unexpected efficacy of residual-based large language models
(LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of …

This study investigates the transformative potential of Large Language Models (LLMs), such
as OpenAI ChatGPT, in medical imaging. With the aid of public data, these models, which …

Background Recent advances in performance of natural language processing (NLP)
techniques have spurred wider use and more sophisticated applications of NLP in radiology …

Advanced multimodal large language models (LLM), such as GPT-4V (ision) and Gemini
Ultra, have shown promising results in the diagnosis of complex pathological conditions …