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.  

Artificial intelligence (AI) is rewiring the way we think about healthcare. And rewiring the way doctors predict, diagnose and treat disease, how exams are carried out and how health systems are run. Is AI a game-changer? Absolutely, and the game is changing a lot faster than many think.

A team from the Wellcome Sanger Institute in the United Kingdom, the University of Otago in New Zealand and the Helmholtz Institute for RNA-based Infection Research in Germany has developed a machine learning tool capable of detecting strains of salmonella before they cause bloodstream infections. Findings were published May 8 in PLOS Genetics.

Stanford researchers, who have previously witnessed artificial intelligence (AI) performing on par with board-certified dermatologists, are turning to computer vision to ensure patient safety and improve physician hygiene.

Consumers are most comfortable with artificial intelligence (AI) when its used in the healthcare when compared to banking or retail, according to a survey conducted by SAS.

Apple has hired John Giannandrea, Google’s chief of search and artificial intelligence (AI), to run their machine learning and AI strategy, according to the New York Times.