Optimization of radiology workflow with artificial intelligence

E Ranschaert, L Topff, O Pianykh - Radiologic Clinics, 2021 - radiologic.theclinics.com
Over the past few years, artificial intelligence (AI) has made a significant advance in the
medical world, particularly due to developments in the field of machine learning (ML) and …

Improving radiology workflow using ChatGPT and artificial intelligence

I Mese, CA Taslicay, AK Sivrioglu - Clinical Imaging, 2023 - Elsevier
Artificial Intelligence is a branch of computer science that aims to create intelligent machines
capable of performing tasks that typically require human intelligence. One of the branches of …

Bag-of-words technique in natural language processing: a primer for radiologists

K Juluru, HH Shih, KN Keshava Murthy, P Elnajjar - RadioGraphics, 2021 - pubs.rsna.org
Natural language processing (NLP) is a methodology designed to extract concepts and
meaning from human-generated unstructured (free-form) text. It is intended to be …

[HTML][HTML] Applications of artificial intelligence in the radiology roundtrip: process streamlining, workflow optimization, and beyond

K Pierre, AG Haneberg, S Kwak, KR Peters… - Seminars in …, 2023 - Elsevier
There are many impactful applications of artificial intelligence (AI) in the electronic radiology
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …

Overview of noninterpretive artificial intelligence models for safety, quality, workflow, and education applications in radiology practice

Y Tadavarthi, V Makeeva, W Wagstaff… - Radiology: Artificial …, 2022 - pubs.rsna.org
Artificial intelligence has become a ubiquitous term in radiology over the past several years,
and much attention has been given to applications that aid radiologists in the detection of …

Artificial intelligence in musculoskeletal imaging: a perspective on value propositions, clinical use, and obstacles

J Fritz, R Kijowski, MP Recht - Skeletal Radiology, 2022 - Springer
Artificial intelligence and deep learning (DL) offer musculoskeletal radiology exciting
possibilities in multiple areas, including image reconstruction and transformation, tissue …

The role of artificial intelligence in cardiovascular magnetic resonance imaging

AA Aromiwura, JL Cavalcante, RY Kwong… - Progress in …, 2024 - Elsevier
Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial
tissue characterization and chamber volumetric and functional evaluation. However, manual …

Automatic medical protocol classification using machine learning approaches

P López-Úbeda, MC Díaz-Galiano… - Computer Methods and …, 2021 - Elsevier
Background and objective: Assignment of medical imaging procedure protocols requires
extensive knowledge about patient's data, usually included in radiological request forms and …

AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?

YR Shin, S Kim, YH Lee - Skeletal Radiology, 2022 - Springer
Artificial intelligence (AI) is expected to bring greater efficiency in radiology by performing
tasks that would otherwise require human intelligence, also at a much faster rate than …

Natural language processing in radiology: Clinical applications and future directions

PS Bobba, A Sailer, JA Pruneski, S Beck, A Mozayan… - Clinical Imaging, 2023 - Elsevier
Natural language processing (NLP) is a wide range of techniques that allows computers to
interact with human text. Applications of NLP in everyday life include language translation …