Accessibility settings

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

Reviews in Dermatology (78) New Methods (1869) mHealth in a Clinical Setting (1216) Innovations and Technology for Cancer Prevention and Screening (274) Skin Cancer and Melanoma Prevention (171) Digital Photography and Imaging in Dermatology (66) Applications of AI (1096)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68510, first published .
Dermatologist examines mole with magnifying glass on woman's neck

3D Total Body Photography as a Promising Innovation for Early Skin Cancer Detection: Scoping Review

3D Total Body Photography as a Promising Innovation for Early Skin Cancer Detection: Scoping Review

Authors of this article:

Fran Baete1 Author Orcid Image ;   Alyssa Laura Jakers1 Author Orcid Image ;   Emilie Delanoye1 Author Orcid Image ;   Nele Vande Velde1 Author Orcid Image ;   Griet Voet1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Lew K, Sim K, Chan W. Artificial intelligence in three-dimensional total-body photography for skin cancer surveillance. Frontiers in Medicine 2026;13 View
  2. Salsano A, Di Costanzo L, Brescia C, Ligrone L, Lembo S. Evaluation of an Artificial Intelligence-Assisted Videodermoscopy System for Cutaneous Lesion Classification: A Retrospective Study. Dermatology Practical & Conceptual 2026;16(S1):7734 View

Conference Proceedings

  1. Roy S, Minakshi , Choudhury T, Kusal S. 2026 Intelligence in Business and Industry (IBI). MetaDerm-Boost: A Metadata-Driven Gradient Boosting Framework for High-Sensitivity Skin Cancer Detection from 3D Total Body Photography View