Cargando…
Machine intelligence in non-invasive endocrine cancer diagnostics
Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care system replete with enhanced precision and computing capabilities. Medical imaging analysis can be strengthened by machine learning as the multidimensional data generated by imaging naturally lends itself to hi...
Autores principales: | Thomasian, Nicole M., Kamel, Ihab R., Bai, Harrison X. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576465/ https://www.ncbi.nlm.nih.gov/pubmed/34754064 http://dx.doi.org/10.1038/s41574-021-00543-9 |
Ejemplares similares
-
RICORD: A Precedent for Open AI in COVID-19 Image Analytics
por: Bai, Harrison X., et al.
Publicado: (2021) -
Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI
por: Hu, Rong, et al.
Publicado: (2022) -
Advancing health equity with artificial intelligence
por: Thomasian, Nicole M., et al.
Publicado: (2021) -
Translatability Analysis of National Institutes of Health–Funded Biomedical Research That Applies Artificial Intelligence
por: Eweje, Feyisope R., et al.
Publicado: (2022) -
The Involvement of Pial Microvessels in Leukocyte Invasion after Mild Traumatic Brain Injury
por: Szmydynger-Chodobska, Joanna, et al.
Publicado: (2016)