University College London Hospitals (UCLH) have partnered with the Alan Turing Institute to use machine learning and artificial intelligence (AI) to complete tasks currently handled by nurses and clinicians, according to The Guardian.

Researchers from the University of California, Los Angeles (UCLA) have developed an algorithm capable of accurately predicting which patients will survive a heart transplant and for how long.

AliveCor and Mayo Clinic have utilized machine learning to identify long QT syndrome (LQTS), with findings presented at the Heart Rhythm Scientific Sessions in Boston.

Researchers from the at Imperial College London and the University of Edinburgh have developed artificial intelligence (AI) software capable of detecting a common cause of dementia and stroke. Findings were published May 15 in Radiology.

Microsoft has announced a new program to fund research into using artificial intelligence (AI) to improve care for those with disabilities.

There are the believers in augmented medicine, with physicians and machines working hand in hand and improving care and patient outcomes. And there are the stalwarts who see machines taking over the tasks of mankind. Period.

AI is hotter than hot in healthcare, according to AI market watcher CB Insights. Healthcare-AI funding reached $2.14 billion across 323 deals from 2012 through the second quarter of 2017—and has consistently been the top industry for AI deals.

When it comes to AI and machine learning, the regulatory trail has been blazed and the approval gates through open. The FDA has approved a couple dozen apps over the last year and a half—and the momentum is clearly building with Scott Gottlieb at the agency’s helm and recent moves to ramp up staffing to meet the demand.