Synthetic data in machine learning for medicine and healthcare

Nat Biomed Eng. 2021 Jun;5(6):493-497. doi: 10.1038/s41551-021-00751-8.

Abstract

The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.

Publication types

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

MeSH terms

  • Carcinoma, Renal Cell / diagnostic imaging
  • Carcinoma, Renal Cell / pathology
  • Datasets as Topic
  • Delivery of Health Care / organization & administration*
  • Diagnosis, Computer-Assisted / methods*
  • Diagnostic Imaging
  • Humans
  • Image Interpretation, Computer-Assisted / statistics & numerical data
  • Information Theory
  • Kidney Neoplasms / diagnostic imaging
  • Kidney Neoplasms / pathology
  • Machine Learning / standards
  • Machine Learning / supply & distribution*
  • Quality Control
  • Synthetic Biology / instrumentation
  • Synthetic Biology / methods*