Cargando…
Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review
Radiomics with deep learning models have become popular in computer-aided diagnosis and have outperformed human experts on many clinical tasks. Specifically, radiomic models based on artificial intelligence (AI) are using medical data (i.e., images, molecular data, clinical variables, etc.) for pred...
Autores principales: | Chaddad, Ahmad, Li, Jiali, Lu, Qizong, Li, Yujie, Okuwobi, Idowu Paul, Tanougast, Camel, Desrosiers, Christian, Niazi, Tamim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618159/ https://www.ncbi.nlm.nih.gov/pubmed/34829379 http://dx.doi.org/10.3390/diagnostics11112032 |
Ejemplares similares
-
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
por: Chaddad, Ahmad, et al.
Publicado: (2017) -
High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features
por: Chaddad, Ahmad, et al.
Publicado: (2015) -
Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images
por: Chaddad, Ahmad, et al.
Publicado: (2016) -
Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer
por: Chaddad, Ahmad, et al.
Publicado: (2017) -
Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery
por: Chaddad, Ahmad, et al.
Publicado: (2016)