Big data and black-box medical algorithms

Sci Transl Med. 2018 Dec 12;10(471):eaao5333. doi: 10.1126/scitranslmed.aao5333.

Author

W Nicholson Price^{1

2

3}

Affiliations

¹ University of Michigan Law School, 921 Legal Research, 801 Monroe St., Ann Arbor, MI 48109, USA.
² Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics, Harvard Law School, 23 Everett St., Cambridge, MA 02138, USA.
³ Collaborative Research Program for Biomedical Innovation Law, University of Copenhagen Faculty of Law, Copenhagen, Denmark.

Abstract

New machine-learning techniques entering medicine present challenges in validation, regulation, and integration into practice.

Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review

MeSH terms

Algorithms*
Big Data*
Machine Learning
Reproducibility of Results
Social Control, Formal

Grants and funding

R01 CA214829/CA/NCI NIH HHS/United States