Achieving precision medicine at scale: Building medical AI to predict individual disease evolution in real time - Artificial Intelligence 2016

Improving delivery of healthcare rests on the ability to predict individual disease with precision, accuracy, and speed. Healthcare's progress rests on two core capabilities: the first is identifying an individual's current and future health state; the second is determining the subsequent best course of action per individual. Both need to be done with precision and timeliness to enable real-time action and iteration with data. This demands the ability to combine, organize, normalize, interpret, and take action on highly complex structured and unstructured data at speed and scale. And yet, most organizations lack the skills and manpower to do so, leading to labor-intensive and costly processes.