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

Digital Photography and Imaging in Dermatology (43) Skin Cancer and Melanoma Prevention (123)

Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37034, first published .
The Experience of 3D Total-Body Photography to Monitor Nevi: Results From an Australian General Population-Based Cohort Study

The Experience of 3D Total-Body Photography to Monitor Nevi: Results From an Australian General Population-Based Cohort Study

The Experience of 3D Total-Body Photography to Monitor Nevi: Results From an Australian General Population-Based Cohort Study

Authors of this article:

Caitlin Horsham1 Author Orcid Image ;   Montana O'Hara1, 2 Author Orcid Image ;   Saira Sanjida1, 2 Author Orcid Image ;   Samantha Ma1 Author Orcid Image ;   Dilki Jayasinghe1 Author Orcid Image ;   Adele C Green3, 4, 5 Author Orcid Image ;   Helmut Schaider2 Author Orcid Image ;   Joanne F Aitken6, 7, 8 Author Orcid Image ;   Richard A Sturm2 Author Orcid Image ;   Tarl Prow9, 10 Author Orcid Image ;   H Peter Soyer2 Author Orcid Image ;   Monika Janda1 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

Journals

  1. Hona T, Horsham C, Silva C, Lawn C, Sanjida S, Gillespie N, Soyer H, Janda M. Consumer views of melanoma early detection using 3D total‐body photography: cross‐sectional survey. International Journal of Dermatology 2023;62(4):524 View
  2. Horsham C, Janda M, Kerr M, Soyer H, Caffery L. Consumer perceptions on privacy and confidentiality in dermatology for 3D total‐body imaging. Australasian Journal of Dermatology 2023;64(1):118 View
  3. Ahmedt-Aristizabal D, Nguyen C, Tychsen-Smith L, Stacey A, Li S, Pathikulangara J, Petersson L, Wang D. Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Computer Methods and Programs in Biomedicine 2023;232:107451 View
  4. Foster T. The Importance of Three-Dimensional Total Body Photography and the Role of the Dermatology Nurse in the Prevention of Melanoma in High-Risk Patients. Journal of the Dermatology Nurses' Association 2024;16(2):56 View
  5. Soyer H, Jayasinghe D, Rodriguez-Acevedo A, Collins L, Caffery L, Whiteman D, Betz-Stablein B, Osborne S, Finnane A, Horsham C, Primiero C, Gray L, Janda M. 3D Total-Body Photography in Patients at High Risk for Melanoma. JAMA Dermatology 2025;161(5):472 View
  6. Ferreirinha A, Farricha V, João A. Melanoma Diagnosis With 3D Total-Body Photography. Actas Dermo-Sifiliográficas 2025;116(10):1116 View
  7. Martínez-Vargas E, Mora-Jiménez J, Arguedas-Chacón S, Hernández-López J, Zavaleta-Monestel E. The Emerging Role of Artificial Intelligence in Dermatology: A Systematic Review of Its Clinical Applications. Dermato 2025;5(2):9 View
  8. Alsararatee H. Diagnostic tools and methods for dermatological assessment. British Journal of Nursing 2025;34(10):502 View
  9. Sitaru S, Schmittdiel S, Eberlein B, Biedermann T, Zink A. Remote evaluation of general skin diseases using three-dimensional total body photography: An observer agreement study. Journal of the American Academy of Dermatology 2025;93(5):1277 View
  10. Thang C, Duffy C, Khattab S, Semenov Y. The Current State and Future Prospects for Artificial Intelligence in Dermatology. Dermatologic Clinics 2025;43(4):503 View
  11. Baete F, Jakers A, Vande Velde N, Voet G. 3D total body photography, a promising innovation for early skin cancer detection: scoping review (Preprint). JMIR Dermatology 2024 View
  12. Ferreirinha A, Farricha V, João A. [Artículo traducido] Diagnóstico de melanoma con fotografía corporal total en 3D. Actas Dermo-Sifiliográficas 2025;116(10):T1116 View