2019) and more towards furthering our understanding of the brain. Submissions were led by contributors from the usa (43 authors), china (22 authors), and canada (16 authors), among others Despite these limitations, these studies were included in this review, given that the further advance of predictive and explainable artificial intelligence for neuroimaging applications is not possible without trials and errors.
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The prediction of intelligence using invivo neuroimaging data and.
We present a systematic review of this growing area of research, based on studies that employ structural, functional, and/or diffusion mri to predict intelligence in cognitively normal subjects using machine learning.
Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders By pooling images from various cohorts, stati… • case studies on the use of ai in detecting and monitoring neurological disorders • these submissions may cover original research, review articles, case studies, and methodological advances in the field.
