Artificial Intelligence

New AI-based technology can identify patients at risk of a deadly heart attack years before it happens, according to new findings published in the European Heart Journal.

The Royal Australian and New Zealand College of Radiologists (RANZCR) has published new guidelines on the ethical application of AI in healthcare.

Machine learning models can be trained to extract immunohistochemical (IHC) characteristics from the imaging results of patients with suspected thyroid nodules, according to new research published in the American Journal of Roentgenology.

Two different AI-based methods can identify patients with implantable devices that could pose a safety risk during MRI scans, according to research published in the Journal of the American College of Radiology.

The United States is a global leader in publishing AI-based radiology research, according to new findings published in the American Journal of Roentgenology.

Machine learning models can be trained to learn from how radiologists make decisions when interpreting screening mammograms, according to a new study published in the Journal of Digital Imaging. Such research may have a significant impact if used to train specialists.

GE Healthcare and Fujitsu Australia have announced a new collaboration focused on diagnosing and monitoring brain aneurysms using AI.

Researchers have developed a new machine learning system that can help pathologists make more accurate breast cancer diagnoses, sharing their findings in JAMA Network Open.

Machine learning models could help some patients with suspected pulmonary embolism (PE) avoid unnecessary CT imaging, according to new findings published in JAMA Network Open.

Machine learning algorithms can classify pathology reports and help providers track follow-up imaging recommendations, according to new findings published in Radiology: Artificial Intelligence.

Using deep learning models to triage screening mammograms can improve radiologist specificity without hurting sensitivity, according to new research published in Radiology.

RadNet has created a new division completely focused on the development of AI solutions in radiology.