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Machine Learning in Medicine

Thursday, April 4, 2019

Submitted by


Source Name: The New England Journal of Medicine


Alvin Rajkomar, Jeffrey Dean, Isaac Kohane

In this review, biomedical informatics experts explain what machine learning is with illustrative examples, and they discuss how machine learning can help the work of clinicians including diagnosis, treatment, prognosis, optimizing clinician workflow, and expanding the availability of clinical expertise. The major challenges and vulnerabilities of machine learning are also expounded.

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