Deep learning for natural language processing in radiology—fundamentals and a systematic review
Purpose Natural language processing (NLP) enables conversion of free text into structured
data. Recent innovations in deep learning technology provide improved NLP performance …
data. Recent innovations in deep learning technology provide improved NLP performance …
A systematic review of natural language processing applied to radiology reports
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 …
healthcare and has been found to be key in extracting structured information from radiology …
Essential elements of natural language processing: what the radiologist should know
PH Chen - Academic radiology, 2020 - Elsevier
Natural language is ubiquitous in the workflow of medical imaging. Radiologists create and
consume free text in their daily work, some of which can be amenable to enhancements …
consume free text in their daily work, some of which can be amenable to enhancements …
Review of natural language processing in radiology
In computer vision, breakthrough performance in 2012 for image classification using deep
learning–based AlexNet has caused a frenzy in neural networks. 1 In recent years, radiology …
learning–based AlexNet has caused a frenzy in neural networks. 1 In recent years, radiology …
Natural language processing in radiology: a systematic review
Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …
health record, which is potentially a valuable source of information for improving clinical care …
Deep learning-based natural language processing in radiology: the impact of report complexity, disease prevalence, dataset size, and algorithm type on model …
AW Olthof, PMA van Ooijen, LJ Cornelissen - Journal of medical systems, 2021 - Springer
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 …
information from radiology reports. It can be used for various downstream tasks such as …
Practical guide to natural language processing for radiology
A Mozayan, AR Fabbri, M Maneevese, I Tocino… - …, 2021 - pubs.rsna.org
Natural language processing (NLP) is the subset of artificial intelligence focused on the
computer interpretation of human language. It is an invaluable tool in the analysis …
computer interpretation of human language. It is an invaluable tool in the analysis …
RadBERT: adapting transformer-based language models to radiology
Purpose To investigate if tailoring a transformer-based language model to radiology is
beneficial for radiology natural language processing (NLP) applications. Materials and …
beneficial for radiology natural language processing (NLP) applications. Materials and …
[HTML][HTML] Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
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 …
medicine and radiology is now more tangible than ever. Every day, an increasingly large …
On the opportunities and risks of foundation models for natural language processing in radiology
WF Wiggins, AS Tejani - Radiology: Artificial Intelligence, 2022 - pubs.rsna.org
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 …
Center in Dallas, Tex, where he founded the Imaging Informatics and Business Intelligence …