Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes

Text-based counseling is an important interface for AI mental-health support, where transcripts may ...

Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces

Correlation matrices are fundamental summaries of functional brain networks, yet standard analyses o...

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence

Adolescence is an important developmental period during which there are diverse changes in the brain...

A Comparative Evaluation of Structural MRI Foundation Models for Brain Age Regression and Sex Classification

Foundation models pre-trained on large neuroimaging datasets offer a promising approach to overcome ...

Excitatory Dysfunction and Phenotypic Rescue in a Human Neuronal Model of SCN2A-Related Disorders

SCN2A-related disorders result from pathogenic variants in the gene encoding for the voltage-gated s...

Cognitive Flexibility and Decision-Making in Anxiety and Depression: Meta-Analytic Evidence Facilitated by Machine-Learning Screening

The ability to adjust to changing environments (cognitive flexibility) and optimal decision-making a...

Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets

Synthetic data is widely used in healthcare to create datasets that are similar to original data but...

Advancing diagnosis of bipolar disorder using brain morphometric similarity networks in a graph AI framework

Brain similarity networks (BSNs), extracted from structural magnetic resonance imaging, provide a va...

Comparison of Machine Learning Surrogate Models for Prediction of Single-Fiber Activation in Deep Brain Stimulation

Machine-learning surrogate models are positioned to help optimize deep brain stimulation (DBS) usage...

Explainable Detection of Depression Status Shifts from User Digital Traces

Every day, users generate digital traces (e.g., social media posts, chats, and online interactions) ...

A Blood-Based Transcriptomic Signature for PTSD Classification Using Machine Learning

Post-traumatic stress disorder (PTSD) remains a significant psychiatric burden; despite growing biom...

DynoSys 2.0: Graph-Based Modeling of Dynamic Risk States and System Transitions in Human Behaviours Development

Human behavioral and mental health outcomes arise from interactions among genetic, environmental, an...

CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks

Randomized neural networks (RdNNs) enable efficient, backpropagation-free training by freezing rando...

An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures

Spontaneous thought is pervasive in everyday human cognition, yet datasets capturing its neural dyna...

Conserved neuroectodermal aging encodes primate health and longevity

Neuroectoderm-derived tissues are highly metabolically active and exhibit minimal regenerative turno...

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