When large language models (LLMs) were introduced to the public at large in late 2022 with
ChatGPT (OpenAI), the interest was unprecedented, with more than 1 billion unique users …

Background Differential diagnosis in radiology is a critical aspect of clinical decision-making.
Radiologists in the early stages may find difficulties in listing the differential diagnosis from …

Abstract Objectives Large Language Models (LLMs) such as ChatGPT and Med-PaLM have
excelled in various medical question-answering tasks. However, these English-centric …

Various natural language processing (NLP) algorithms have been applied in the literature to
analyze radiology reports pertaining to the diagnosis and subsequent care of cancer …

The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable capability to …

Background The diagnostic abilities of multimodal large language models (LLMs) using
direct image inputs and the impact of the temperature parameter of LLMs remain …

In radiology, natural language processing (NLP) allows the extraction of valuable
information from radiology reports. It can be used for various downstream tasks such as …

T here are many publications about large language models (LLM), the use of which has
increased rapidly in the last year, including their use, possible benefits, and ethical concerns …

Ali S. Tejani, MD, is a radiology resident at the University of Texas Southwestern Medical
Center in Dallas, Tex, where he founded the Imaging Informatics and Business Intelligence …

Natural language processing (NLP) is focused on the computer interpretation of human
language and can be used to evaluate radiology reports and has demonstrated useful …