Mobile medical applications for melanoma risk assessment: False assurance or valuable tool?

Chadwick, Xavier, Loescher, Lois J., Janda, Monika and Soyer, H. Peter (2014). Mobile medical applications for melanoma risk assessment: False assurance or valuable tool?. In: Ralph H. Sprague, Proceedings of the 47th Annual Hawaii International Conference on System Sciences, HICSS 2014. 47th Hawaii International Conference on System Sciences, HICSS 2014, Waikoloa, HI, (2675-2684). 6 - 9 January 2014. doi:10.1109/HICSS.2014.337

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Author Chadwick, Xavier
Loescher, Lois J.
Janda, Monika
Soyer, H. Peter
Title of paper Mobile medical applications for melanoma risk assessment: False assurance or valuable tool?
Conference name 47th Hawaii International Conference on System Sciences, HICSS 2014
Conference location Waikoloa, HI
Conference dates 6 - 9 January 2014
Proceedings title Proceedings of the 47th Annual Hawaii International Conference on System Sciences, HICSS 2014   Check publisher's open access policy
Journal name Proceedings of the Annual Hawaii International Conference on System Sciences   Check publisher's open access policy
Series Annual Hawaii International Conference on System Sciences. Proceedings
Place of Publication Washington, DC United States
Publisher IEEE Computer Society
Publication Year 2014
Year available 2014
Sub-type Fully published paper
DOI 10.1109/HICSS.2014.337
ISBN 9781479925049
ISSN 1530-1605
Editor Ralph H. Sprague
Start page 2675
End page 2684
Total pages 10
Collection year 2015
Language eng
Abstract/Summary With the smartphone revolution, consumer-focused mobile medical applications (apps) have flooded the market without restriction. We searched the market for commercially available apps on all mobile platforms that could provide automated risk analysis of the most serious skin cancer, melanoma. We tested 5 relevant apps against 15 images of previously excised skin lesions and compared the apps' risk grades to the known histopathologic diagnosis of the lesions. Two of the apps did not identify any of the melanomas. The remaining 3 apps obtained 80% sensitivity for melanoma risk identification; specificities for the 5 apps ranged from 20%-100%. Each app provided its own grading and recommendation scale and included a disclaimer recommending regular dermatologist evaluation regardless of the analysis outcome. The results indicate that autonomous lesion analysis is not yet ready for use as a triage tool. More concerning is the lack of restrictions and regulations for these applications.
Subjects 2200 Engineering
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: Official 2015 Collection
School of Medicine Publications
 
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Created: Tue, 24 Jun 2014, 14:08:21 EST by System User on behalf of Medicine - Princess Alexandra Hospital