Clinical Research

AI Imaging Contrast Development

National Science Foundation issues $1M grant to eliminate imaging contrast with AI

Case Western Reserve University researchers hope to make the diagnosis of cancer safer and less expensive.

January 4, 2024

Mayo Clinic rings in the new year with two AI-powered cancer care initiatives

Two AI developers have announced new agreements with the academic medical center, both related to improving the delivery of oncology services.

January 2, 2024
“Undifferentiated Cardiac Sarcoma of the Mitral Valve: Multimodal Imaging Assessment" Radiology: Cardiothoracic Imaging RSNA

Radiologists select 2023's top images in cardiothoracic imaging

“Cardiothoracic imaging continues to evolve, fueled by technical innovations such as dynamic chest radiography, digital tomosynthesis and dark-field radiography," one radiologist said.

December 21, 2023
SimonMed

Imaging chain dramatically improves diagnosis of fractures with AI

SimonMed achieved an 82% improvement in X-ray reading time using the technology. 

December 15, 2023
Michael Lipton, MD, PhD, from Columbia University’s Vagelos College of Physicians

Heading a soccer ball linked to reduced brain function

Until now, little was known about the impact of long-term use of the technique.

December 15, 2023
Lung damage from study

Combining marijuana and tobacco may be extra bad for your lungs

According to new research shared by RSNA, smoking weed in combination with tobacco may increase the risk of damage to lung air sacs.

December 15, 2023
Kid holding baseball

New radiology research may shed light on MLB’s record number of Tommy John surgeries

A retrospective analysis of elbow MRI exams shows young baseball players can develop lasting injuries.

December 13, 2023
Entry way to the RSNA artificial intelligence showcase. Photo by Dave Fornell. #RSNA #RSNA23 #RSNA2023 orthopedic imaging

RSNA unveils the 10 most cited Radiology studies of 2023

ChatGPT was a popular topic among readers of the Radiological Society of North America's flagship scientific journal. 

December 13, 2023

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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