Credit: Google News
Machine learning has the potential to reshape the patient-doctor relationship, according to a new review published in the New England Journal of Medicine, but it must overcome a few challenges first.
“We expect a handful of early models and peer-reviewed publications of their (machine learning) results to appear in the next few years, which—along with the development of regulatory frameworks and economic incentives for value-based care—are reasons to be cautiously optimistic about machine learning in health care,” wrote Alvin Rajkomar, MD, of Google, and colleagues.
The researchers, who also included Jeffrey Dean, PhD, of Google and Isaac Kohane, MD, PhD, Harvard Medical School, pointed to four distinct challenges machine learning must overcome to successfully augment the work of clinicians:
Credit: Google News
