Literature DB >> 30153928

Fighting Melanoma with Smartphones: A Snapshot of Where We are a Decade after App Stores Opened Their Doors.

Alexander Ngoo1, Anna Finnane2, Erin McMeniman3, H Peter Soyer3, Monika Janda4.   

Abstract

BACKGROUND: Smartphone applications ("apps") exist for primary and secondary prevention of melanoma. Our aim was to review currently available apps for community, patient and generalist clinician users.
DESIGN: Prospective study, April 2017 - May 2017. MAIN OUTCOMES: Appropriate apps available to Android and Apple smartphones were assessed in regards to app specific information (target user, cost, store rating, last update), functions offered and clinician, professional or scientific input and or peer review. Comparison was made with a similar 2014 review of the app market.
RESULTS: 43 apps meeting inclusion criteria were found. Compared to 2014, 24 of 43 (55.8%) were new, and apps performing automated image analysis declined from 46.1% to 23.3% market share. 23 of 43 (53.4%) were free to download, 48.8% (n = 20) required payments of some form. The most common functionality was monitoring/tracking with 24 of 43 (55.8%) apps performing this. 15 of 43 apps (34.9%) reported clinician, professional or scientific input; in 2014 it was only 4 of 39 (10.3%). 2 of 43 apps (5%) mentioned peer-reviewed evidence along with professional input. Not all apps had ratings. On Android 20 of 22 apps had ratings; average app rating was 3.5, range 1.6 to 4.6. On Apple, 13 of 13 had ratings; average rating was 3.5; range 1- 5.
CONCLUSIONS: Since 2014 there have been an expanding and changing landscape of apps targeting melanoma diagnosis. There remains a lack of evidence backing their efficacy. This is concerning given their public availability and the gravity of their subject matter.
Copyright © 2018 Elsevier B.V. All rights reserved.

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Year:  2018        PMID: 30153928     DOI: 10.1016/j.ijmedinf.2018.08.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  3 in total

1.  Poor agreement between the automated risk assessment of a smartphone application for skin cancer detection and the rating by dermatologists.

Authors:  Y Chung; A A J van der Sande; K P de Roos; M W Bekkenk; E R M de Haas; N W J Kelleners-Smeets; N A Kukutsch
Journal:  J Eur Acad Dermatol Venereol       Date:  2019-09-12       Impact factor: 6.166

2.  Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones.

Authors:  José Alves; Dinis Moreira; Pedro Alves; Luís Rosado; Maria João M Vasconcelos
Journal:  Sensors (Basel)       Date:  2019-11-14       Impact factor: 3.576

3.  Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.

Authors:  Anna Sophie Jahn; Alexander Andreas Navarini; Sara Elisa Cerminara; Lisa Kostner; Stephanie Marie Huber; Michael Kunz; Julia-Tatjana Maul; Reinhard Dummer; Seraina Sommer; Anja Dominique Neuner; Mitchell Paul Levesque; Phil Fang Cheng; Lara Valeska Maul
Journal:  Cancers (Basel)       Date:  2022-08-07       Impact factor: 6.575

  3 in total

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