Cargando…
Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions
IMPORTANCE: A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and pathology services. OBJECTIVE: To determine the ac...
Autores principales: | Phillips, Michael, Marsden, Helen, Jaffe, Wayne, Matin, Rubeta N., Wali, Gorav N., Greenhalgh, Jack, McGrath, Emily, James, Rob, Ladoyanni, Evmorfia, Bewley, Anthony, Argenziano, Giuseppe, Palamaras, Ioulios |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806667/ https://www.ncbi.nlm.nih.gov/pubmed/31617929 http://dx.doi.org/10.1001/jamanetworkopen.2019.13436 |
Ejemplares similares
-
Effectiveness of an image analyzing AI-based Digital Health Technology to identify Non-Melanoma Skin Cancer and other skin lesions: results of the DERM-003 study
por: Marsden, Helen, et al.
Publicado: (2023) -
Severe inflammatory response and vasculitis leading to quadruple limb
amputations
por: Brinkler, Rebecca, et al.
Publicado: (2013) -
Focal Hyperhidrosis Associated with Recurrent Urinary Tract Infections
por: Ismail, Dina, et al.
Publicado: (2016) -
Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies
por: Freeman, Karoline, et al.
Publicado: (2020) -
“Is this the GVHD?” A qualitative exploration of quality of life issues in individuals with graft-versus-host disease following allogeneic stem cell transplant and their experiences of a specialist multidisciplinary bone marrow transplant service
por: de Vere Hunt, Isabella, et al.
Publicado: (2021)