AIMC Topic: Neuropsychiatry

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Artificial intelligence driven neuropsychiatry: a systematic review of electroencephalography-based computational techniques for major depressive disorder prediction.

Neuroscience Jul 8, 2025
Major Depressive Disorder is the most prominent global mental health issue impacting millions of individuals worldwide. Electroencephalogram signals capturing intricate brain dynamics have emerged as a promising modality for predicting depression. Th...
Humans Neural Networks, Computer Artificial Intelligence Brain Depressive Disorder, Major Electroencephalography Neuropsychiatry
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3D CNN for neuropsychiatry: Predicting Autism with interpretable Deep Learning applied to minimally preprocessed structural MRI data.

PloS one Oct 21, 2024
Predictive modeling approaches are enabling progress toward robust and reproducible brain-based markers of neuropsychiatric conditions by leveraging the power of multivariate analyses of large datasets. While deep learning (DL) offers another promisi...
Humans Neural Networks, Computer Brain Female Adult Male Deep Learning Adolescent Child Imaging, Three-Dimensional Magnetic Resonance Imaging Autistic Disorder Neuropsychiatry
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The Artificial intelligence large language models and neuropsychiatry practice and research ethic.

Asian journal of psychiatry Mar 31, 2023
Humans Artificial Intelligence Language Ethics, Research Intelligence Neuropsychiatry
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Harnessing networks and machine learning in neuropsychiatric care.

Current opinion in neurobiology Jan 12, 2019
The development of next-generation therapies for neuropsychiatric illness will likely rely on a precise and accurate understanding of human brain dynamics. Toward this end, researchers have focused on collecting large quantities of neuroimaging data....
Humans Machine Learning Brain Cross-Sectional Studies Neuroimaging Neuropsychiatry
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