Artificial Intelligence

According to a new ranking from Forbes, AI and its ability to help radiologists streamline image analysis represents the No. 1 digital health technology of 2019.

Companies developing imaging solutions powered by AI raised nearly $580 million in 2018, according to a report from Signify Research.

A recurrent neural network (RNN) can be trained to automatically classify important findings in unstructured radiology reports, according to new research published in the American Journal of Roentgenology

A research team out of Russia says it has developed a new artificial intelligence (AI) system for treating lung cancer patients that can interpret CT results in 20 seconds.

The Royal Australian and New Zealand College of Radiologists (RANZCR) has established a working group to research the impact and influence of artificial intelligence (AI) on healthcare, focusing specifically on radiology. 

Recent research has suggested that artificial intelligence (AI) may be keeping students from considering radiology as a career. The author of a letter to the editor published in Academic Radiology, however, noted that interest in radiology appears to be growing. 

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.

Oxipit, a medical imaging solutions manufacturer based out of Vilnius, Lithuania, announced that its ChestEye imaging suite has received CE certification.

Object detection convolutional neural networks (CNNs) can detect and localize fractures in wrist x-rays, according to a new study published in Radiology: Artificial Intelligence.

RSNA has published the debut issue of its new online journal, Radiology: Artificial Intelligence.

Though artificial intelligence continues to make great strides within radiology, some radiologists are still unprepared to educate medical students regarding its usage, according to a new commentary published in Academic Radiology.

The Alliance for Artificial Intelligence in Healthcare (AAIH) announced that it has officially launched after holding the inaugural meeting of its board of directors Jan. 9 in San Francisco.