Heine Skov

The value of deep learning systems in healthcare comes only in improving accuracy and/or increasing efficiency. Healthcare, today, is a human — machine collaboration that may ultimately become a symbiosis or even cyborg relationship. We are still at the stage, however, that we have both humans and machines each performing both tasks at which they are suboptimal. As deep learning systems develop and evolve they will more and more assist humans with those tasks at which humans are not good. So, for example, humans are very good at processing information from their senses including vision. They are very good at perceiving human emotions. But humans are not so good at remembering things, searching for and organizing data and not too good at correlating and reasoning about that data. So I foresee DL systems that will make physicians and other providers faster and smarter in their diagnoses and reduce uncertainty in their decisions thereby avoiding costs and hazards and saving time.

Email was never intended as a platform for doing work. It has no intelligence. There’s no prioritization. It lands in your inbox chronologically. And yet, when you’re replying to or sending email, you feel busy. You feel like you’re doing something. But are you really? When you’re reacting to email, someone else is setting your priorities.