Artificial Intelligence

Researchers at Google have developed a deep learning algorithm that uses data from CT scans to predict a patient’s risk of lung cancer, according to findings published in Nature Medicine.

According to a new commentary in Radiology: Artificial Intelligence, radiologists have no reason to fear being replaced—as long as they are willing to embrace AI and adapt to these changing times.  

A majority of French radiologists feel they don’t know enough about AI, according to a new study published in Diagnostic and Interventional Imaging. But they want to learn more and sound optimistic about the technology’s many benefits.

Aidoc has gained FDA approval for its new AI-powered solution that helps radiologists flag and triage urgent pulmonary embolism (PE) cases.

A deep learning-based diagnosis system can identify ACL tears in MRI scans as well as radiologists, according to a new study published in Radiology: Artificial Intelligence.

Zebra Medical Vision has received FDA clearance for its new artificial intelligence (AI) solution that scans chest x-rays for signs of pneumothorax and alerts imaging providers when necessary.

NVIDIA and King’s College London have announced a new partnership focused on developing a new artificial intelligence (AI) platform to improve radiology workflows.

A new deep learning model leveraging data from screening mammograms can predict a patient’s breast cancer risk with significant accuracy, according to a new study published in Radiology.

Deep learning (DL) may be able to help healthcare providers predict how patients will respond to intravenous thrombolysis, according to a new pilot study published in Academic Radiology.

Researchers have developed a deep learning model for detecting and delineating chronic myocardial infarction (MI), sharing their findings in a new study published by Radiology.

Researchers have developed a new technique, DeepPET, that uses deep learning to turn PET imaging data into high-quality images at a much faster rate than traditional methods. 

Artificial intelligence-based computer-aided detection (AI-CAD) software can help radiologists detect more cancers when interpreting mammograms, according to a new study published in the Journal of Digital Imaging.