Cargando…
Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters
Interest in the application of machine learning (ML) techniques to medicine is growing fast and wide because of their ability to endow decision support systems with so-called artificial intelligence, particularly in those medical disciplines that extensively rely on digital imaging. Nonetheless, ach...
Autores principales: | Cabitza, Federico, Campagner, Andrea, Balsano, Clara |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210125/ https://www.ncbi.nlm.nih.gov/pubmed/32395545 http://dx.doi.org/10.21037/atm.2020.03.63 |
Ejemplares similares
-
Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading
por: Cabitza, Federico, et al.
Publicado: (2021) -
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
por: Cabitza, Federico, et al.
Publicado: (2020) -
The integration of passenger and freight transport for first-last mile operations
por: Bruzzone, Francesco, et al.
Publicado: (2021) -
The last mile of analytics
por: Barlow, Mike
Publicado: (2015) -
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings
por: Seveso, Andrea, et al.
Publicado: (2020)