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Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.
Hogarty, Daniel T; Su, John C; Phan, Kevin; Attia, Mohamed; Hossny, Mohammed; Nahavandi, Saeid; Lenane, Patricia; Moloney, Fergal J; Yazdabadi, Anousha.
Afiliación
  • Hogarty DT; Monash University, Eastern Health, 5 Arnold Street, Box Hill 3128, Melbourne, VIC, Australia. daniel.hogarty93@gmail.com.
  • Su JC; Monash University, Eastern Health, 5 Arnold Street, Box Hill 3128, Melbourne, VIC, Australia.
  • Phan K; Murdoch Children's Research Institute, University of Melbourne, Melbourne, VIC, Australia.
  • Attia M; Department of Dermatology, Liverpool Hospital, Sydney, NSW, Australia.
  • Hossny M; Institute for Intelligent Systems Research and Innovation, Geelong, Australia.
  • Nahavandi S; Institute for Intelligent Systems Research and Innovation, Geelong, Australia.
  • Lenane P; Institute for Intelligent Systems Research and Innovation, Geelong, Australia.
  • Moloney FJ; Mater Misericordiae University Hospital, Dublin, Ireland.
  • Yazdabadi A; University College Dublin, School of Medicine and Medical Science, Dublin, Ireland.
Am J Clin Dermatol ; 21(1): 41-47, 2020 Feb.
Article en En | MEDLINE | ID: mdl-31278649
ABSTRACT
Although artificial intelligence has been available for some time, it has garnered significant interest recently and has been popularized by major companies with its applications in image identification, speech recognition and problem solving. Artificial intelligence is now being increasingly studied for its potential uses in medicine. A sound understanding of the concepts of this emerging field is essential for the dermatologist as dermatology has abundant medical data and images that can be used to train artificial intelligence for patient care. There are already a number of artificial intelligence studies focusing on skin disorders such as skin cancer, psoriasis, atopic dermatitis and onychomycosis. This article aims to present a basic introduction to the concepts of artificial intelligence as well as present an overview of the current research into artificial intelligence in dermatology, examining both its current applications and its future potential.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de la Piel / Inteligencia Artificial / Dermatología Límite: Humans Idioma: En Revista: Am J Clin Dermatol Asunto de la revista: DERMATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de la Piel / Inteligencia Artificial / Dermatología Límite: Humans Idioma: En Revista: Am J Clin Dermatol Asunto de la revista: DERMATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Australia
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