The promise of AI to solve our health and wellness woes almost seems inevitable. From DeepMind’s algorithms that match or outwit radiologists in breast cancer or eye disease diagnosis to Fitbits, Apple Watches, or smart pregnancy waistbands that track your health stats, the answer seems clear: more high-quality data will empower us to take control of our own health and happiness.
It’s a popular narrative. But at Singularity University’s Global Summit in San Francisco [August 19], physician and entrepreneur Daniel Kraft, Dr. David Karow from Human Longevity, Inc., and happiness hacker Penny Locaso from BKindred painted a more nuanced picture. Data is power, yes. But what fundamentally matters is what you measure and how you respond.
Using simulations, we’ll be able to optimize diagnostics, prevention, and treatments that tailor to a particular patient. “We have the tools to generate that data—now we need to transform knowledge into clinical applications,” said Kraft.
Yet so far, AI hasn’t really moved the needle on healthcare. The reason, said Karow, is because AI hasn’t really been “measuring what matters.” Not all medical data is equal; rather than relying on superficial wearables, it pays to go deep.
Read full, original post: How Much Is AI Really Moving the Needle on Health?