Embracing machine learning and digital health technology for precision dermatology

Shannon Wongvibulsin, Byron Kalm Tsun Ho, Shawn Kwatra

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
JournalJournal of Dermatological Treatment
DOIs
StatePublished - Jan 1 2019

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Biomedical Technology
Dermatology
Precision Medicine
Patient Rights
Delivery of Health Care
Equipment and Supplies
Health
Machine Learning

Keywords

  • digital health
  • increasing access
  • Machine learning
  • patient engagement
  • precision dermatology
  • precision medicine

ASJC Scopus subject areas

  • Dermatology

Cite this

Embracing machine learning and digital health technology for precision dermatology. / Wongvibulsin, Shannon; Ho, Byron Kalm Tsun; Kwatra, Shawn.

In: Journal of Dermatological Treatment, 01.01.2019.

Research output: Contribution to journalArticle

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