Literature DB >> 29292506

Smartphone apps for skin cancer diagnosis: Implications for patients and practitioners.

Lisa M Abbott1,2, Saxon D Smith3,4,5.   

Abstract

A research team at Stanford recently reported that their deep convolutional neural network had learned to classify skin cancer with a level of competence equivalent to that of board-certified dermatologists. It is possible that in time, and using larger datasets, such software may surpass the average doctor in diagnostic ability, and that highly accurate technology may be available to both clinicians and patients via smartphones. This technology is poised to change the landscape of skin cancer diagnosis for both physicians and patients, but whether such changes are beneficial will depend on how they are regulated and implemented.
© 2018 The Australasian College of Dermatologists.

Entities:  

Keywords:  artificial intelligence; diagnosis; medical law; skin cancer; smartphone

Mesh:

Year:  2018        PMID: 29292506     DOI: 10.1111/ajd.12758

Source DB:  PubMed          Journal:  Australas J Dermatol        ISSN: 0004-8380            Impact factor:   2.875


  6 in total

1.  Comparing Artificial Intelligence Platforms for Histopathologic Cancer Diagnosis.

Authors:  Andrew A Borkowski; Catherine P Wilson; Steven A Borkowski; L Brannon Thomas; Lauren A Deland; Stefanie J Grewe; Stephen M Mastorides
Journal:  Fed Pract       Date:  2019-10

2.  Biosensors for Personal Mobile Health: A System Architecture Perspective.

Authors:  Siddarth Arumugam; David A M Colburn; Samuel K Sia
Journal:  Adv Mater Technol       Date:  2019-11-20

Review 3.  Role of smartphone devices in precision oncology.

Authors:  Ruby Srivastava
Journal:  J Cancer Res Clin Oncol       Date:  2022-10-17       Impact factor: 4.322

4.  Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.

Authors:  M-C Laï; M Brian; M-F Mamzer
Journal:  J Transl Med       Date:  2020-01-09       Impact factor: 5.531

5.  DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks.

Authors:  Bogdan Mazoure; Alexander Mazoure; Jocelyn Bédard; Vladimir Makarenkov
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

6.  The use of smartphone apps in clinical practice: A survey of South African physiotherapists.

Authors:  Michael Rowe; Berenice Sauls
Journal:  S Afr J Physiother       Date:  2020-04-20
  6 in total

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