Embracing machine learning and digital health technology for precision dermatology

Shannon Wongvibulsin, Byron Kalm Tsun Ho, Shawn G. Kwatra

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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)
Pages (from-to)494-495
Number of pages2
JournalJournal of Dermatological Treatment
Issue number5
StatePublished - Jul 3 2020


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

ASJC Scopus subject areas

  • Dermatology


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