Psychiatry

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

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Attitudes toward AI in health- and non-health-related contexts: Context matters, not mood or perceived social support.

As artificial intelligence (AI) systems increasingly permeate healthcare and daily life, understandi...

Feb 2026 41650897
Personal reflection on future of psychiatry.

History of Psychiatry can be of help, not only not to repeat the mistakes of the past, but also to f...

(2)
Feb 2026 41641947
An automated detection system of autism spectrum disorder using meta-heuristic approach of adaptive LSTM with bayesian learning technique.

Autism spectrum disorder (ASD) is one of the major neurological symptoms affecting young children. M...

Feb 2026 41642457
Tailored psychotherapy and AI-enhanced contingency management for co-occurring disorders in cannabis use disorder: a systematic review.

BACKGROUND: Cannabis use disorder (CUD) commonly co-occurs with depression, post-traumatic stress di...

Feb 2026 41640005
Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data.

BACKGROUND: Adolescents are particularly vulnerable to mental disorders, with over 75% of lifetime c...

(1)
Feb 2026 41637624
HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression.

INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring m...

Feb 2026 41638734
Post-secondary student adoption of mental health labels through their use of social media: a scoping review.

BACKGROUND: Social media is a significant source of information for post-secondary students, who are...

Feb 2026 41638737
Deep neural network-based analysis of voice biomarkers for monitoring treatment response in adolescent major depressive disorder.

BACKGROUND: In adolescents, identifying objective biomarkers for treatment response is crucial for t...

Feb 2026 41639246
Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy.

BACKGROUND: Hepatitis B (HBV) is a chronic viral infection that can lead to cirrhosis, liver failure...

Feb 2026 41637463
Comprehensive Insight into Analytical Strategies for the Determination of Zolpidem and Its Metabolites in Different Matrices.

Zolpidem (ZLP), a non-benzodiazepine hypnotic of the imidazopyridine class, is widely prescribed for...

(1)
Feb 2026 41630687
Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach.

BACKGROUND: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and chi...

Feb 2026 41632951
Treating autism with Bumetanide: Identification of responders using Q-Finder machine learning algorithm.

Bumetanide, a specific NKCC1 co-transporter inhibitor, restores deficient GABAergic inhibition impli...

Feb 2026 41633963
Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networks.

Generative Adversarial Networks, a popular deep learning method, have achieved excellent performance...

Feb 2026 41629367
Altered entropy modulation in bipolar disorder: EEG entropy measures during steady-state auditory entrainment.

BACKGROUND: Non-linear neural dynamics reflect the inherent complexity of brain activity and are inc...

Feb 2026 41638500
Predictive Accuracy of Natural Language Processing Extracted 3-Step Theory of Suicide Factor Scores Derived From Veterans' Clinical Progress Notes.

OBJECTIVES: To compare predictive accuracy of 3-step theory of suicide (3ST) factor scores derived f...

Feb 2026 41622646
Global priorities for advancing cancer survivorship.

PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cance...

Feb 2026 41704003
Neurocognitive and Social Cognitive Predictors of Adolescent Major Depressive Disorder: A Machine Learning Classification Study.

Background/aimThis study aimed to investigate whether machine learning (ML) algorithms could accurat...

Feb 2026 41627294
Simplifying Depression Diagnosis: Single-Channel EEG and Deep Learning Approaches.

Major depressive disorder (MDD) or depression is a chronic mental illness that significantly impacts...

Feb 2026 41628041
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