Saved by Behruz Davletov
Artificial intelligence was supposed to transform health care. It hasn’t.
As a result of so many changes, compassionate care is all too often being replaced by institutional care characterized by electronic medical records (EMRs), coding, and algorithms.
Tim Ferriss • The Almanack of Naval Ravikant: A Guide to Wealth and Happiness
Fast forward to 2022, and not a single radiologist has been replaced. Rather, the consensus view nowadays is that machine learning for radiology is harder than it looks; at least for now, humans and machines complement each other’s strengths.
Gary Marcus • Deep Learning Is Hitting a Wall
“The promise of artificial intelligence in medicine is to provide composite, panoramic views of individuals’ medical data; to improve decision making; to avoid errors such as misdiagnosis and unnecessary procedures; to help in the ordering and interpretation of appropriate tests; and to recommend treatment.”
Eric Topol • Deep Medicine | Eric Topol
advancing information technology is pushing us toward a tipping point that is poised to ultimately make the entire economy less labor-intensive. However, that transition won’t necessarily unfold in a uniform or predictable way. Two sectors in particular—higher education and health care—have, so far, been highly resistant to the kind of disruption t
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