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.