Better medicine through machine learning: What's real, and what's artificial?

Suchi Saria; Atul Butte; Aziz Sheikh

doi:10.1371/journal.pmed.1002721

Better medicine through machine learning: What's real, and what's artificial?

PLoS Med. 2018 Dec 31;15(12):e1002721. doi: 10.1371/journal.pmed.1002721. eCollection 2018 Dec.

Authors

Suchi Saria¹, Atul Butte^{2

3}, Aziz Sheikh⁴

Affiliations

¹ Machine Learning and Healthcare Laboratory, Departments of Computer Science, Statistics, and Health Policy, Malone Center for Engineering in Healthcare, and Armstrong Institute for Patient Safety and Quality, Johns Hopkins University, Baltimore, Maryland, United States of America.
² Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California, United States of America.
³ Center for Data-Driven Insights and Innovation, University of California Health, Oakland, California, United States of America.
⁴ Usher Institute of Population Health and Informatics, The University of Edinburgh, Edinburgh, United Kingdom.

Abstract

Machine Learning Special Issue Guest Editors Suchi Saria, Atul Butte, and Aziz Sheikh cut through the hyperbole with an accessible and accurate portrayal of the forefront of machine learning in clinical translation.

Publication types

Editorial

MeSH terms

Artificial Intelligence / standards
Artificial Intelligence / trends
Diagnosis, Computer-Assisted / standards
Diagnosis, Computer-Assisted / trends
Humans
Machine Learning / standards
Machine Learning / trends*
Medicine / standards
Medicine / trends*

Grants and funding

The authors received no specific funding for this work.