The continued evolution of AI will lead to more job opportunities in the healthcare industry, according to new survey of high-ranking executives. Investments in AI and the implementation of AI-focused strategies are both also on the rise.  

AI can improve CT findings and play a key role in the evaluation of hypovascular hepatic metastases, according to a new study published in Radiology: Artificial Intelligence.

A convolutional neural network (CNN) could assist radiologists with the detection and segmentation of suspicious findings on prostate MRI scans, according to a new study published in Radiology.

Physicians who reject an AI-based recommendation of established care guidelines in order to provide more personalized medicine are at heightened risk of being sued for malpractice should the patient be harmed.

A team of researchers from West Virginia and Arkansas are beginning a four-year project aimed at using AI to improve the treatment of cardiovascular disease and cut healthcare costs.

Some 46% of Americans are open to the idea of their physicians using AI to help make diagnoses.

Machine learning can help electrophysiologists or other heart specialists decide whether a patient is a good candidate for a pacemaker or implantable cardioverter defibrillator, according to a study published Oct. 3 in PLOS One.

As more businesses begin to implement state-of-the-art technologies, one industry expert is predicting AI will boost the global economy by $14 trillion by the year 2035.