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

RCTs - Protocols/Proposals (eHealth) (701) Clinical Information and Decision Making (2045) Decision Support for Health Professionals (1618) Artificial Intelligence (2310)

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-Besa1 Author Orcid Image ;   Aïna Fuster-Casanovas2, 3 Author Orcid Image ;   Alexander Börve4, 5 Author Orcid Image ;   Oriol Yélamos6 Author Orcid Image ;   Xavier Fustà-Novell7 Author Orcid Image ;   Mireia Esquius Rafat7 Author Orcid Image ;   Francesc X Marin-Gomez8 Author Orcid Image ;   Josep Vidal-Alaball2, 3, 9 Author Orcid Image
Article Authors Cited by (10) Tweetations (24) 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
  4. Catalina Q, Fuster-Casanovas A, Vidal-Alaball J, Escalé-Besa A, Marin-Gomez F, Femenia J, Solé-Casals J. Knowledge and perception of primary care healthcare professionals on the use of artificial intelligence as a healthcare tool. DIGITAL HEALTH 2023;9 View
  5. Marri S, Albadri W, Hyder M, Janagond A, Inamadar A. Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis. JMIR Dermatology 2024;7:e48811 View
  6. Rakers M, van Buchem M, Kucenko S, de Hond A, Kant I, van Smeden M, Moons K, Leeuwenberg A, Chavannes N, Villalobos-Quesada M, van Os H. Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care. JAMA Network Open 2024;7(9):e2432990 View
  7. Hasan Pour B. Superficial Fungal Infections and Artificial Intelligence: A Review on Current Advances and Opportunities: REVISION. Mycoses 2025;68(1) View
  8. Islam R, Huynh T, Becevic M, Nahar V. Ultraviolet-Induced Skin Cancer Knowledge, Exploring the Potential of Artificial Intelligence in Skin Lesion Diagnosis, and Malignancy Risk in Patients With Atopic Dermatitis. Journal of the Dermatology Nurses' Association 2025;17(1):21 View
  9. Tikhomirov L, Semmler C, Prizant N, Bhasin S, Kenyon G, van der Vegt A, Erdman L, Kurian N, Thompson H, Palmer L, Mohamud A, Gichoya J, Soremekun S, Sendak M, Anderson J, Pfohl S, Stedman I, Ehrmann D, Verspoor K, Kwong J, Farmer L, London A, Akrout I, Joshi S, Dicus E, Liu X, McCradden M. A scoping review of silent trials for medical artificial intelligence. Nature Health 2026 View

Conference Proceedings

  1. Thanam A, Elakkiya K, Yamuna Devi M, Sanjay S, Sharath A, Subramani K. 2025 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT). AI Dermatology: An Enhanced Approach for Skin Disease Detection View