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.

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.

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.

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.

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

Cerner Corporation, one of the nation’s largest electronic health records platforms, has partnered with Uber Health to improve non-emergency transportation that can be included in the patient record.

Racial bias has been uncovered in health algorithms, negatively affecting black patients, according to new research published in Science.