Cargando…
Key challenges for delivering clinical impact with artificial intelligence
BACKGROUND: Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This articl...
Autores principales: | Kelly, Christopher J., Karthikesalingam, Alan, Suleyman, Mustafa, Corrado, Greg, King, Dominic |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821018/ https://www.ncbi.nlm.nih.gov/pubmed/31665002 http://dx.doi.org/10.1186/s12916-019-1426-2 |
Ejemplares similares
-
The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence
por: Xue, Peng, et al.
Publicado: (2020) -
Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data
por: Corradini, Daniele, et al.
Publicado: (2021) -
Artificial intelligence—the future is now
por: Trolice, Mark P., et al.
Publicado: (2021) -
Artificial nervous systems—A new paradigm for artificial intelligence
por: Narcross, Fredric
Publicado: (2021) -
Data management challenges for artificial intelligence in plant and agricultural research
por: Williamson, Hugh F., et al.
Publicado: (2023)