We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




RSNA Debuts New Journal Focused on AI in Radiology

By MedImaging International staff writers
Posted on 20 Feb 2019
Print article
The Radiological Society of North America {(RSNA) Oak Brook, IL, USA} has published the first issue of its new online journal, Radiology: Artificial Intelligence. The new journal highlights the emerging applications of machine learning and artificial intelligence (AI) in the field of imaging across multiple disciplines.

The new journal invites high-quality manuscripts illustrating the use of AI to diagnose and manage patients, extract information, streamline radiology workflow, or improve healthcare outcomes. It also seeks thoughtful, meaningful reviews and opinion pieces focused on AI education and AI's role to educate radiologists, referring providers and patients, as well as other important issues in the specialty.

"We are extremely pleased with the quality of articles in the journal's first issue," said editor Charles E. Kahn Jr., M.D, M.S., professor and vice chairman of radiology at Perelman School of Medicine and senior fellow of the Institute for Biomedical Informatics and the Leonard Davis Institute of Health Economics at University of Pennsylvania. "These articles highlight the ways that AI can be applied to measurably improve healthcare. Our goal is to deliver the same high quality of original scientific research as our parent journal, Radiology, but focused on AI. In addition to original research, we welcome articles that explore the ethical, social, legal and economic implications of AI in radiology.”

Related Links:
Radiological Society of North America

New
Pocket Fetal Doppler
CONTEC10C/CL
Radiology Software
DxWorks
Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices
Ultra-Flat DR Detector
meX+1717SCC

Print article

Channels

Radiography

view channel
Image: The new machine algorithm can identify cardiovascular risk at the click of a button (Photo courtesy of Adobe Stock)

Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans

A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more

Nuclear Medicine

view channel
Image: The prostate cancer imaging study aims to reduce the need for biopsies (Photo courtesy of Shutterstock)

New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer

Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.