Synthetic data generation in healthcare: A scoping review of reviews on domains, motivations, and future applications.

Journal: International journal of medical informatics
Published Date:

Abstract

BACKGROUND: The development of Artificial Intelligence in the healthcare sector is generating a great impact. However, one of the primary challenges for the implementation of this technology is the access to high-quality data due to issues in data collection and regulatory constraints, for which synthetic data is an emerging alternative. While previous research has reviewed synthetic data generation techniques, there is limited focus on their applications and the motivations driving their synthesis. A comprehensive review is needed to expand the potential of synthetic data into less explored healthcare areas.

Authors

  • Miguel Rujas
    Life Supporting Technologies Research Group, Universidad Politécnica de Madrid, Avda Complutense 30, 28040 Madrid, Spain. Electronic address: miguel.rujas.atahonero@upm.es.
  • Rodrigo Martín Gómez Del Moral Herranz
    Life Supporting Technologies Research Group, Universidad Politécnica de Madrid, Avda Complutense 30, 28040 Madrid, Spain.
  • Giuseppe Fico
    Life Supporting Technologies, epartamento de Tecnología Fotónica y Bioingeniería, Universidad Politècnica de Madrid, Madrid, Spain.
  • Beatriz Merino-Barbancho
    Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.