“In this study, for patients with stage-IV disease, we have a treatment paradigm that can result in long-term survival while maintaining overall quality of life,” said senior author of the study, Dwight E. Heron, MD.

Researchers used a convolutional neural network (CNN) to classify acute and non-acute findings in pediatric elbow x-rays, according to new research published in Radiology: Artificial Intelligence. The team’s recurrent neural network was able to interpret an entire series of images together, mimicking the decision-making process of a human radiologist.

A group of researchers from the Republic of Korea found the 2018 Liver Imaging and Reporting Data System (LI-RADS) could accurately differentiate hepatocellular carcinoma (HCC) from other malignancy in patients with liver cirrhosis, according to a study published Jan. 29 in Radiology.

Current conversion ratios may be underestimating the long-term cardiotoxicity of common chemotherapy agents like mitoxantrone and overestimating the cardiovascular risk of anthracyclines like daunorubicin, researchers reported in JAMA Oncology Jan. 31.

Companies developing machine-learning solutions for medical imaging have received more than $1.2 billion in capital investments since 2014, according to a report by Signify Research.

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) and American College of Nuclear Medicine (ACNM) submitted a joint statement to the Nuclear Regulatory Commission (NRC) opposing potential changes in the NRC’s training and experience requirements for authorized users to administer radiopharmaceuticals.  

Researchers have trained an AI algorithm to identify and locate radius and ulna fractures on wrist radiographs with 98 percent sensitivity and 73 percent specificity, on a per study basis. Their findings were published in the Radiological Society of North America’s new journal Radiology: Artificial Intelligence.

Researchers have determined that increasing the number of core biopsy samples obtained using MRI-targeted transrectal ultrasound biopsy can lead to the detection of more clinically significant prostate cancers.