Why AI is about to make some of the highest-paid doctors obs
Radiologists bring home $395,000 each year, on average. Pathologists? Roughly $260,000. In the near future, however, those numbers promise to drop to $0. Don't blame Obamacare, however, or even Trumpcare (whatever that turns out to be), but rather blame the rise of machine learning and its applicability to these two areas of medicine that are heavily focused on pattern matching, a job better done by a machine than a human.

This is the argument put forward by Dr. Ziad Obermeyer of Harvard Medical School and Brigham and Women's Hospital and Ezekiel Emanuel, PhD, of the University of Pennsylvania, in an article for the New England Journal of Medicine, one of the medical profession's most prestigious journals.

In their view, machine learning will have a disproportionately bigger impact on three areas of medicine:

-Machine learning will dramatically improve the ability of health professionals to establish a prognosis.

-Machine learning will displace much of the work of radiologists and anatomical pathologists.

-Machine learning will improve diagnostic accuracy.