Embracing machine learning and digital health technology for precision dermatology.

Journal: The Journal of dermatological treatment
Published Date:

Abstract

Involvement from the dermatology community in the current revolution in sensors, personal health devices, computing, and machine learning algorithms can enable us to reach the promise of precision medicine in dermatology to deliver the 'right treatment at the right time'. Machine learning combined with digital health technology offers enormous potential to expand access to dermatological services, engage patients in the management of their conditions, and provide tools that enable clinicians to be more effective in their delivery of health care. We offer our framework for how machine learning, rather than replacing dermatologists, will be essential in realizing the promise of precision dermatology.

Authors

  • Shannon Wongvibulsin
    Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
  • Byron Kalm-Tsun Ho
    Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Shawn G Kwatra
    Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.