INSIGHTS
February 20, 2018

AI in healthcare: Not magic, just math

We're tired of healthcare cover stories about AI featuring pictures of robots, of debates focusing on semantics, not substance, and of exaggerated claims AI will save or destroy healthcare as we know it. We see algorithms being trained on dumb and dirty data, and companies building analytics on retrospective EHR data that should be validated through clinical trials (but they’re not).

Uncertainty—and overhype—in the AI and machine learning space can obscure and impede legitimate innovation. We wanted to equip ourselves—and others—with information and tools to navigate this complex terrain. Today, we’re releasing a report to provide business leaders and investors with a framework to evaluate algorithms—and the myriad of companies using them. Because AI isn't magic—it's just math. See our research here.

Headlines

Report: Demystifying AI And Machine Learning In Healthcare
Rock Health

The Deeply Human Core Of Roche's $2.1B Flatiron Acquisition
Forbes

Twine Health's Chronic Disease Coaching Complements Fitbit's Wellness Offerings
MobiHealthNews

FDA Clears Insulin Dose Calculator That's Connected To Smartphone App
CNBC

Do Hospitals Still Make Sense? Case For Decentralization Of Healthcare
NEJM

Nokia Creates Plan For Digital Health, Announces It Could Cut 425 Jobs
MobiHealthNews

Evidation Founder Suffers Chronic Pain—And Is On A Mission To Cure It
CNBC

FDA Budget Requests Include Clinical Software, Real-Time Device Data
MobiHealthNews

Google Paper Stirs Interest, But Not Seen As Transformative
Politico

Why (and how) should your company define, measure, and invest in wellness? We're sitting down with entrepreneurs and experts on 2/27 to find out. Join us—RSVP here. 

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