Machine Learning and MRI-based Diagnostic Models for ADHD: Are We There Yet?

Yanli Zhang-JamesAli Shervin RazaviMartine HoogmanBarbara FrankeStephen V Faraone

Published in: Journal of attention disorders (2023)

Ultimately, large multi-modal imaging datasets, and potentially the combination with other types of data, like cognitive data and/or genetics, will be essential to achieve the goal of developing clinically useful imaging classification tools for ADHD in the future.

Keyphrases

machine learning
attention deficit hyperactivity disorder
big data
high resolution
electronic health record
autism spectrum disorder
working memory
deep learning
magnetic resonance imaging
artificial intelligence
current status
computed tomography
magnetic resonance
mass spectrometry
rna seq