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 …
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 …
The ecological footprint of medical AI
Artificial intelligence (AI) is progressively being woven into the fabric of clinical medicine.
Most notably, radiology, as an image-based medical specialty, offers numerous applications …
Most notably, radiology, as an image-based medical specialty, offers numerous applications …
[PDF][PDF] Data science: big data, machine learning, and artificial intelligence
A quick search on PubMed. gov for each of the terms that have been used to describe some
aspect of data science exceeded 10,000 results per term with artificial intelligence (AI) …
aspect of data science exceeded 10,000 results per term with artificial intelligence (AI) …
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 …
Bending the artificial intelligence curve for radiology: informatics tools from ACR and RSNA
M Kohli, T Alkasab, K Wang, ME Heilbrun… - Journal of the American …, 2019 - Elsevier
Artificial intelligence (AI) will reshape radiology over the coming years. The radiology
community has a strong history of embracing new technology for positive change, and AI is …
community has a strong history of embracing new technology for positive change, and AI is …
RaLEs: a benchmark for radiology language evaluations
J Zambrano Chaves, N Bhaskhar… - Advances in …, 2023 - proceedings.neurips.cc
The radiology report is the main form of communication between radiologists and other
clinicians. Prior work in natural language processing in radiology reports has shown the …
clinicians. Prior work in natural language processing in radiology reports has shown the …
[HTML][HTML] Artificial intelligence (AI) in radiology: a deep dive into ChatGPT 4.0's accuracy with the American Journal of Neuroradiology's (AJNR)" Case of the Month"
The advent of artificial intelligence (AI), particularly large language models (LLMs) such as
ChatGPT 4.0, holds significant potential in healthcare, specifically in radiology. This study …
ChatGPT 4.0, holds significant potential in healthcare, specifically in radiology. This study …
From images to actions: opportunities for artificial intelligence in radiology
CE Kahn Jr - Radiology, 2017 - pubs.rsna.org
From Images to Actions: Opportunities for Artificial Intelligence in Radiology | Radiology
RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …
RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …
[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 …