Literature DB >> 31122081

Embracing machine learning and digital health technology for precision dermatology.

Shannon Wongvibulsin1,2, Byron Kalm-Tsun Ho3, Shawn G Kwatra3.   

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.

Entities:  

Keywords:  Machine learning; digital health; increasing access; patient engagement; precision dermatology; precision medicine

Mesh:

Year:  2019        PMID: 31122081      PMCID: PMC6911024          DOI: 10.1080/09546634.2019.1623373

Source DB:  PubMed          Journal:  J Dermatolog Treat        ISSN: 0954-6634            Impact factor:   3.359


  2 in total

Review 1.  How Should Artificial Intelligence Screen for Skin Cancer and Deliver Diagnostic Predictions to Patients?

Authors:  George A Zakhem; Catherine C Motosko; Roger S Ho
Journal:  JAMA Dermatol       Date:  2018-12-01       Impact factor: 10.282

2.  Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

Authors:  Seung Seog Han; Myoung Shin Kim; Woohyung Lim; Gyeong Hun Park; Ilwoo Park; Sung Eun Chang
Journal:  J Invest Dermatol       Date:  2018-02-08       Impact factor: 8.551

  2 in total
  3 in total

Review 1.  Expanding Personalized, Data-Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes.

Authors:  Shannon Wongvibulsin; Tracy M Frech; Mary-Margaret Chren; Eric R Tkaczyk
Journal:  JID Innov       Date:  2022-02-01

Review 2.  Machine learning for precision dermatology: Advances, opportunities, and outlook.

Authors:  Ernest Y Lee; Nolan J Maloney; Kyle Cheng; Daniel Q Bach
Journal:  J Am Acad Dermatol       Date:  2020-07-06       Impact factor: 11.527

Review 3.  Artificial Intelligence in Dermatology: A Practical Introduction to a Paradigm Shift.

Authors:  Bell R Eapen
Journal:  Indian Dermatol Online J       Date:  2020-11-08
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.