The more significant part of the total populace has no admittance to essential well-being administrations. About a portion of the 400,000 deaths a year attributed to incorrect diagnoses are viewed as preventable. Curai, a three-year-old startup, is using AI to improve the above condition. Curai's endeavors to bring down the obstruction to passage for medicinal services for billions of individuals focus on applying GPU-powered AI to interface patients, suppliers, and health coaches through a chat-based application. In the background, the application is intended to successfully interface the healthcare dots' entirety, from understanding side effects to making analyses to deciding medicines.

As a child, Neal Khosla became engrossed by the Oakland Athletics baseball team's "Moneyball" approach of using data analytics to uncover the value and potential of the sport's players. A few years ago, the young engineer began pursuing similar techniques to improve medical decision-making. It wasn't long after Khosla met Xavier Amatriain, who was looking to apply his engineering skills to a higher mission, that the pair founded Curai. The three-year-old startup, based in Palo Alto, Calif., is using AI to improve the entire process of providing healthcare. The scope of their challenge -- transforming how medical care is accessed and delivered -- is daunting.

It has become a sort of tradition for me to try to summarize ML advances at this time of the year (see here for my Quora answer last year, for example). As always, this summary will necessarily be biased by my own interests and focus, but I have tried to keep it as broad as possible. Note that what follows is a blog post version of my Quora answer here. Let's look at all of this in some more detail. If 2017 was probably the cusp of fear mongering and AI hype, 2018 seems to have been the year where we have started to all cool down a bit.