This paper is in the following e-collection/theme issue:

mHealth for Patient Education (195) mHealth for Wellness, Behavior Change and Prevention (2518) Use and User Demographics of mHealth (287) Mobile Apps for Dermatology and Prevention (15) Skin Cancer and Melanoma Prevention (95)

Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13844, first published .
Patient Attitudes and Their Awareness Towards Skin Cancer–Related Apps: Cross-Sectional Survey

Patient Attitudes and Their Awareness Towards Skin Cancer–Related Apps: Cross-Sectional Survey

Patient Attitudes and Their Awareness Towards Skin Cancer–Related Apps: Cross-Sectional Survey

Authors of this article:

Theresa Steeb 1 Author Orcid Image ;   Anja Wessely 1 Author Orcid Image ;   Sebastian Mastnik 1 Author Orcid Image ;   Titus Josef Brinker 2 Author Orcid Image ;   Lars Einar French 1 Author Orcid Image ;   Anne-Charlotte Niesert 1 Author Orcid Image ;   Carola Berking 1 Author Orcid Image ;   Markus Vincent Heppt 1 Author Orcid Image
Article Authors Cited by (16) Tweetations (8) Metrics

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  2. Jutzi T, Krieghoff-Henning E, Holland-Letz T, Utikal J, Hauschild A, Schadendorf D, Sondermann W, Fröhling S, Hekler A, Schmitt M, Maron R, Brinker T. Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective. Frontiers in Medicine 2020;7 View
  3. Kong F, Horsham C, Ngoo A, Soyer H, Janda M. Review of smartphone mobile applications for skin cancer detection: what are the changes in availability, functionality, and costs to users over time?. International Journal of Dermatology 2021;60(3):289 View
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  7. Marchetti M, Sar-Graycar L, Dusza S, Nanda J, Kurtansky N, Rotemberg V, Hay J. Prevalence and Age-Related Patterns in Health Information–Seeking Behaviors and Technology Use Among Skin Cancer Survivors: Survey Study. JMIR Dermatology 2022;5(2):e36256 View
  8. Toma A, Boeriu E, Decean L, Bloanca V, Bratosin F, Levai M, Vasamsetti N, Alambaram S, Oprisoni A, Miutescu B, Hemaswini K, Juganaru I, Bondar A, Moise M. The Effects of Lack of Awareness in Age-Related Quality of Life, Coping with Stress, and Depression among Patients with Malignant Melanoma. Current Oncology 2023;30(2):1516 View
  9. Ukharov A, Shlivko I, Klemenova I, Garanina O, Uskova K, Mironycheva A, Stepanova Y. Skin cancer risk self-assessment using AI as a mass screening tool. Informatics in Medicine Unlocked 2023;38:101223 View
  10. Haggenmüller S, Krieghoff-Henning E, Jutzi T, Trapp N, Kiehl L, Utikal J, Fabian S, Brinker T. Digital Natives’ Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study. JMIR mHealth and uHealth 2021;9(8):e22909 View
  11. Sgouros D, Milia-Argyti A, Arvanitis D, Polychronaki E, Kousta F, Panagiotopoulos A, Theotokoglou S, Syrmali A, Theodoropoulos K, Stratigos A, Rigopoulos D, Katoulis A. Actinic Keratoses (AK): An Exploratory Questionnaire-Based Study of Patients’ Illness Perceptions. Current Oncology 2022;29(7):5150 View
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  13. Jahn A, Navarini A, Cerminara S, Kostner L, Huber S, Kunz M, Maul J, Dummer R, Sommer S, Neuner A, Levesque M, Cheng P, Maul L. 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. Cancers 2022;14(15):3829 View
  14. Steeb T, Wessely A, Heppt M, Erdmann M, Klug S, Berking C. Opportunities to inform German residents about the possibility of skin cancer screening and to inform stakeholders to take appropriate actions: A qualitative approach. Cancer Medicine 2023;12(9):10829 View
  15. Lai J, Bao A, McCaffrey T, Salman R, Gelderen E, Rizk E, Thompson K, Epstein J, Bibee K, Scott J. Predictor Variables Associated With Dermatology Referral Completion and the Impact on Surgical Treatment: A Retrospective Cohort Study. Dermatologic Surgery 2023 View
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