Eyesight researchers have developed a machine-learning architecture whose best model, an ensemble classifier, achieved 93.4% accuracy in separating good candidates for corneal refractive surgery from patients likely to have post-surgery complications or poor outcomes.

More adults are utilizing voice assistant devices powered by AI to help with their medication management, but not all devices are the same. According to new research published in Nature, Google Assistant outpaces its peers, including Amazon’s Alexa and Apple’s Siri voice assistants.

AI in healthcare and wearables are buzzy words in the sector, but not all patients are on board with injecting biometric monitoring devices (BMDs) into their daily lives. And that non-acceptance could prove problematic for the future of these devices and other AI-based tools, according to a recent study from French researchers with Université Paris Descartes.

A European university with deep historic roots is now home to an AI research center whose areas of concentration include healthcare.

The diagnosis and treatment of a gut disease that can cause permanent damage in children can be sped up by the application of machine learning, according to researchers from the University of Virginia schools of Engineering and Medicine.

Deep learning could help catch drug dealers who use social media to connect with customers, according to a study conducted at UC-San Diego and published June 14 in the Journal of Medical Internet Research.

AI is aiding in the diagnosis of several diseases and health risks, and researchers have recently found that machine learning can help predict the onset of psychosis, a debilitating mental disorder that can compromise an individual’s psychology and their ability to think and feel.

Harvard researchers have used machine learning to predict which patients soon to undergo an operation for low-back pain should be monitored for opioid dependence down the road.

A new building is soon to rise in New York City inside which will buzz myriad medical research and clinical activities involving AI.  

A convolutional neural network has proven better than traditional equations, indexes and scoring systems at predicting which hospitalized patients will face readmission not long after being sent home.  

UCLA Health is synthesizing vast amounts of data by deploying new Microsoft cloud computing services, Microsoft Azure, that will speed up medical discoveries and improve patient care.

Hoping to encourage interdisciplinary collaboration around Big Data over the next 50 to 100 years, Boston University is preparing to build a 17-story architectural marvel.