Cargando…
A reinforcement learning model for AI-based decision support in skin cancer
We investigated whether human preferences hold the potential to improve diagnostic artificial intelligence (AI)-based decision support using skin cancer diagnosis as a use case. We utilized nonuniform rewards and penalties based on expert-generated tables, balancing the benefits and harms of various...
Autores principales: | Barata, Catarina, Rotemberg, Veronica, Codella, Noel C. F., Tschandl, Philipp, Rinner, Christoph, Akay, Bengu Nisa, Apalla, Zoe, Argenziano, Giuseppe, Halpern, Allan, Lallas, Aimilios, Longo, Caterina, Malvehy, Josep, Puig, Susana, Rosendahl, Cliff, Soyer, H. Peter, Zalaudek, Iris, Kittler, Harald |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427421/ https://www.ncbi.nlm.nih.gov/pubmed/37501017 http://dx.doi.org/10.1038/s41591-023-02475-5 |
Ejemplares similares
-
The dermatoscopic universe of basal cell carcinoma
por: Lallas, Aimilios, et al.
Publicado: (2014) -
Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study
por: Rinner, Christoph, et al.
Publicado: (2020) -
The dermatologist’s stethoscope—traditional and new applications of dermoscopy
por: Zalaudek, Iris, et al.
Publicado: (2013) -
Impact of the COVID-19 Pandemic on Dermatology Practice Worldwide: Results of a Survey Promoted by the International Dermoscopy Society (IDS)
por: Conforti, Claudio, et al.
Publicado: (2021) -
Extensive regression in pigmented skin lesions: a dangerous confounding feature
por: Lallas, Aimilios, et al.
Publicado: (2012)