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 …

Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …

Background Natural language processing (NLP) has a significant role in advancing
healthcare and has been found to be key in extracting structured information from radiology …

Background It is expected that artificial intelligence (AI) will be used extensively in the
medical field in the future. Objective The purpose of this study is to investigate the …

Purpose Natural language processing (NLP) enables conversion of free text into structured
data. Recent innovations in deep learning technology provide improved NLP performance …

OBJECTIVE. The objective of this article is to show how artificial intelligence (AI) has
impacted different components of the imaging value chain thus far as well as to describe its …

The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …

Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of
artificial intelligence that is ideally suited to solving image-based problems. There are an …

We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would
normally require intelligent action by a human. Much of the recent excitement about AI in the …

Artificial intelligence (AI) has been widely used in various medical fields, such as image
diagnosis, pathological classification, selection of treatment schemes, and prognosis …