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

RCTs - Protocols/Proposals (eHealth) (412) Clinical Information and Decision Making (954) Decision Support for Health Professionals (774) Artificial Intelligence (726)

Published on in Vol 11 , No 8 (2022) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37531, first published .
Using Artificial Intelligence as a Diagnostic Decision Support Tool in Skin Disease: Protocol for an Observational Prospective Cohort Study

Using Artificial Intelligence as a Diagnostic Decision Support Tool in Skin Disease: Protocol for an Observational Prospective Cohort Study

Using Artificial Intelligence as a Diagnostic Decision Support Tool in Skin Disease: Protocol for an Observational Prospective Cohort Study

Authors of this article:

Anna Escalé-Besa 1 Author Orcid Image ;   Aïna Fuster-Casanovas 2, 3 Author Orcid Image ;   Alexander Börve 4, 5 Author Orcid Image ;   Oriol Yélamos 6 Author Orcid Image ;   Xavier Fustà-Novell 7 Author Orcid Image ;   Mireia Esquius Rafat 7 Author Orcid Image ;   Francesc X Marin-Gomez 8 Author Orcid Image ;   Josep Vidal-Alaball 2, 3, 9 Author Orcid Image
Article Authors Cited by (3) Tweetations (26) Metrics

Journals

  1. 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
  2. Escalé-Besa A, Yélamos O, Vidal-Alaball J, Fuster-Casanovas A, Miró Catalina Q, Börve A, Ander-Egg Aguilar R, Fustà-Novell X, Cubiró X, Rafat M, López-Sanchez C, Marin-Gomez F. Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care. Scientific Reports 2023;13(1) View
  3. Giansanti D. The Artificial Intelligence in Teledermatology: A Narrative Review on Opportunities, Perspectives, and Bottlenecks. International Journal of Environmental Research and Public Health 2023;20(10):5810 View