From MIT Technology Review:
A team of researchers at Stanford University, led by Andrew Ng, a prominent AI researcher and an adjunct professor there, has shown that a machine-learning model can identify heart arrhythmias from an electrocardiogram (ECG) better than an expert…
…“I’ve been encouraged by how quickly people are accepting the idea that deep learning can diagnose at an accuracy superior to doctors in select verticals,”
All is proceeding as I have foreseen.
Diagnosis lends itself to computerization in three ways. First the machine can detect minuscule changes in a physiological state that are below the threshold of our senses. Second machines can remember everything and compare to a vast storehouse of differential options much faster than a human. Finally machine learning allows it to get better. The more data we have the better the results.