AI Medical Compendium Journal:
Journal of the American College of Radiology : JACR

Showing 111 to 120 of 213 articles

Inconsistent Performance of Deep Learning Models on Mammogram Classification.

Journal of the American College of Radiology : JACR
OBJECTIVES: Performance of recently developed deep learning models for image classification surpasses that of radiologists. However, there are questions about model performance consistency and generalization in unseen external data. The purpose of th...

Deep Learning for Natural Language Processing in Radiology-Fundamentals and a Systematic Review.

Journal of the American College of Radiology : JACR
PURPOSE: Natural language processing (NLP) enables conversion of free text into structured data. Recent innovations in deep learning technology provide improved NLP performance. We aimed to survey deep learning NLP fundamentals and review radiology-r...

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Journal of the American College of Radiology : JACR
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...

Comparing Artificial Intelligence Approaches to Retrieve Clinical Reports Documenting Implantable Devices Posing MRI Safety Risks.

Journal of the American College of Radiology : JACR
OBJECTIVE: Assess sensitivity, specificity, and accuracy of two approaches to identify patients with implantable devices that pose safety risks for MRI-an expert-derived approach and an ontology-derived natural language processing (NLP). Determine th...