AIMC Topic: Radiology

Clear Filters Showing 331 to 340 of 829 articles

Elements of a Good Radiology Artificial Intelligence Paper.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

Applications of natural language processing in radiology: A systematic review.

International journal of medical informatics
BACKGROUND: Recent advances in performance of natural language processing (NLP) techniques have spurred wider use and more sophisticated applications of NLP in radiology. This study systematically reviews the trends and applications of NLP in radiolo...

Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.

Investigative radiology
OBJECTIVES: The aim of this study was to estimate the prospective utility of a previously retrospectively validated convolutional neural network (CNN) for prostate cancer (PC) detection on prostate magnetic resonance imaging (MRI).

Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes.

Clinical imaging
The use of technology in medicine has grown exponentially because of the technological advancements allowing the digitization of medical data and optimization of their processing to extract multiple features of significant clinical relevance. Radiolo...

The Need for Medical Artificial Intelligence That Incorporates Prior Images.

Radiology
The use of artificial intelligence (AI) has grown dramatically in the past few years in the United States and worldwide, with more than 300 AI-enabled devices approved by the U.S. Food and Drug Administration (FDA). Most of these AI-enabled applicati...

Explainability of radiomics through formal methods.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Artificial Intelligence has proven to be effective in radiomics. The main problem in using Artificial Intelligence is that researchers and practitioners are not able to know how the predictions are generated. This is current...

Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE).

European radiology
OBJECTIVE: There has been a large amount of research in the field of artificial intelligence (AI) as applied to clinical radiology. However, these studies vary in design and quality and systematic reviews of the entire field are lacking.This systemat...

The role of artificial intelligence in paediatric neuroradiology.

Pediatric radiology
Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and neuro-oncological disease. Employing multi-parametric MRI techniques, such as spectroscopy and diffusion- and perfusion-weighted imaging, to the radiophenotyping...

Physicians' preferences and willingness to pay for artificial intelligence-based assistance tools: a discrete choice experiment among german radiologists.

BMC health services research
BACKGROUND: Artificial Intelligence (AI)-based assistance tools have the potential to improve the quality of healthcare when adopted by providers. This work attempts to elicit preferences and willingness to pay for these tools among German radiologis...