Deep convolutional neural networks (CNNs) can be trained to predict sequence types for brain MR images, according to new research published in the Journal of Digital Imaging.

Researchers have detected racial bias in an algorithm commonly used by health systems to make decisions about patient care, according to a new study published in Science.

AI algorithms can identify melanomas in dermoscopic images with an accuracy comparable to human specialists, according to research published in JAMA.

Deep learning can provide accurate measurements of a patient’s musculoskeletal (MSK) system by evaluating CT scans, according to findings published in IEEE Transactions on Medical Imaging.

CMS announced Thursday, Oct. 31, that 25 participants have advanced in the agency’s Artificial Intelligence Health Outcomes Challenge, putting them one step closer to earning $1 million in prize money.

Researchers have uncovered a new way to determine when ductal carcinoma in situ (DCIS) is most likely to progress to a more invasive cancer, according to new findings published in Breast Cancer Research.

Machine learning algorithms can be used to identify cancer patients at risk of short-term mortality, according to a new study published in JAMA Network Open. This helps providers plan for necessary conversations about end-of-life preferences.

Facebook and the NYU School of Medicine made headlines back in August 2018 when they announced their plan to improve MRI times using AI.

People often stare at their phones while using the restroom, scrolling through emails and social media posts to help pass the time. Now, however, two companies are asking phone-toting individuals to do something else before they flush: snap a quick photo of their poop.