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

Journals

1. Kaliyadan F, Ashique K. Use of mobile applications in dermatology. Indian Journal of Dermatology 2020;65(5):371 View
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
4. El Abbadi S, Susok L, Stockfleth E, Bechara F, Gambichler T, Herbrandt S, Goldschmidtböing L, Sand M. Comparison of the Skin Cancer Quality of Life Impact Tool and the Skin Cancer Index Questionnaire in Measurement of Health-Related Quality of Life and the Effect of Patient Education Brochures in Patients with Actinic Keratosis, Non-melanoma Skin Cancer, and Cutaneous Melanoma. Dermatology and Therapy 2021;11(3):929 View
5. Girbig G, Augustin M, Krensel M, Andrees V. Gesetzliches Hautkrebsscreening in Deutschland. Der Hautarzt 2021;72(11):953 View
6. Shlivko I, Garanina O, Klemenova I, Uskova K, Mironycheva A, Dardyk V, Laskov V. Artificial intelligence: how it works and criteria for assessment. Consilium Medicum 2021;23(8):626 View
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
12. Pang N, Lau J, Fong S, Wong C, Tan K. Telemedicine Acceptance Among Older Adult Patients With Cancer: Scoping Review. Journal of Medical Internet Research 2022;24(3):e28724 View
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 View