Artificial Intelligence

Artificial intelligence (AI) could be a true game-changer for medical image interpretation, especially women’s imaging. But nothing is guaranteed.

The Royal Australian and New Zealand College of Radiologists (RANZCR) announced Thursday, Feb. 21, that it has published a draft of its guidelines for the appropriate use of AI and machine learning (ML) in healthcare.

AI can predict a woman’s survival rate and response to treatments for ovarian cancer more accurately than current methods, according to research published online Feb. 15 in Nature Communications. 

IBM Watson Health has announced a new 10-year, $50 million investment in joint research collaboration projects with Brigham and Women’s Hospital in Boston and Vanderbilt University Medical Center (VUMC) to advance the application of artificial intelligence (AI) in public health.

Zebra Medical Vision announced it has received grants from the Israel Innovation Authority to implement its AI algorithms in three of Israel's largest medical institutions.

Kai-Fu Lee, the CEO of a Chinese venture capital firm and former president of Google China, discussed AI and its impact on various sectors of the economy in a new interview with Fox Business.

Testing a previously developed deep-learning algorithm for assessing children’s bone age on x-rays, Harvard researchers have found their tool combined with a radiologist beats three competitors—AI alone, a radiologist alone and a pooled group of unaided experts.

Researchers have developed a new framework that uses machine learning to predict prostate cancer progression, according to new findings published in Scientific Reports.

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.