Literature DB >> 34077573

Mobile Health Skin Cancer Risk Assessment Campaign using Artificial Intelligence on a Population-Wide Scale: A Retrospective Cohort Analysis.

T E Sangers1, T Nijsten1, M Wakkee1.   

Abstract

Forms of Artificial Intelligence (AI) such as deep learning algorithms have demonstrated to perform on-par with human dermatologists in recognizing skin cancer based on clinical images of skin lesions.1 Deep learning has swiftly been integrated into mobile health (mHealth) consumer smartphone applications (apps). This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Artificial Intelligence; Deep learning; Skin cancer; Smartphone; mHealth

Year:  2021        PMID： 34077573     DOI： 10.1111/jdv.17442

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN： 0926-9959            Impact factor:   6.166


  2 in total

1.  Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators.

Authors:  T E Sangers; M Wakkee; E C Kramer-Noels; T Nijsten; M Lugtenberg
Journal:  Br J Dermatol       Date:  2021-07-05       Impact factor: 11.113

2.  Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.

Authors:  Tobias Sangers; Suzan Reeder; Sophie van der Vet; Sharan Jhingoer; Antien Mooyaart; Daniel M Siegel; Tamar Nijsten; Marlies Wakkee
Journal:  Dermatology       Date:  2022-02-04       Impact factor: 5.197
  2 in total

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