Digital skin imaging applications, part II: a comprehensive survey of post-acquisition image utilization features and technology standards
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Author
Sun, M.D.Kentley, J.
Wilson, B.W.
Soyer, H.P.
Curiel-Lewandrowski, C.N.
Rotemberg, V.M.
Halpern, A.C.
ISIC Technique Working Group
Affiliation
Division of Dermatology, University of Arizona Skin College of MedicineIssue Date
2022Keywords
artificial intelligenceclinical imaging
digital tools
mobile applications
quality assurance
teledermatology
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John Wiley and Sons IncCitation
Sun, M. D., Kentley, J., Wilson, B. W., Soyer, H. P., Curiel-Lewandrowski, C. N., Rotemberg, V. M., Halpern, A. C., & the ISIC Technique Working Group. (2022). Digital skin imaging applications, part II: a comprehensive survey of post-acquisition image utilization features and technology standards. Skin Research and Technology.Journal
Skin Research and TechnologyRights
Copyright © 2022 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Background: Despite the increasing ubiquity and accessibility of teledermatology applications, few studies have comprehensively surveyed their features and technical standards. Importantly, features implemented after the point of capture are often intended to augment image utilization, while technical standards affect interoperability with existing healthcare systems. We aim to comprehensively survey image utilization features and technical characteristics found within publicly discoverable digital skin imaging applications. Materials and Methods: Applications were identified and categorized as described in Part I. Included applications were then further assessed by three independent reviewers for post-imaging content, tools, and functionality. Publicly available information was used to determine the presence or absence of relevant technology standards and/or data characteristics. Results: A total of 20 post-image acquisition features were identified across three general categories: (1) metadata attachment, (2) functional tools (i.e., those that utilized images or in-app content to perform a user-directed function), and (3) image processing. Over 80% of all applications implemented metadata features, with nearly half having metadata features only. Individual feature occurred and feature richness varied significantly by primary audience (p < 0.0001) and function (p < 0.0001). On average, each application included under three features. Less than half of all applications requested consent for user-uploaded photos and fewer than 10% provided clear data use and privacy policies. Conclusion: Post-imaging functionality in skin imaging applications varies significantly by primary audience and intended function, though nearly all applications implemented metadata labeling. Technical standards are often not implemented or reported consistently. Gaps in the provision of clear consent, data privacy, and data use policies should be urgently addressed. © 2022 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd.Note
Open access articleISSN
0909-752XVersion
Final published versionae974a485f413a2113503eed53cd6c53
10.1111/srt.13195
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Except where otherwise noted, this item's license is described as Copyright © 2022 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.