Psychiatry

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

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Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.

The accuracy of grey-matter predictors of depression has remained limited. In this study, brain-base...

Feb 2026 41741408
Artificial Intelligence and CT Neuroimaging in Dementia and Psychotic Disorders: A Viewpoint.

Psychotic disorders are marked by heterogeneity in symptoms and treatment response, yet efforts to d...

Feb 2026 41741853
Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study.

OBJECTIVE: Machine learning (ML) has advanced predictive modeling in medical diagnosis and risk asse...

Feb 2026 41748375
Exploration of the mental attention mechanisms in motor imagery-based EEG decoding.

BACKGROUND: Brain-Computer Interface (BCI) systems enable direct communication between the brain and...

Feb 2026 41748031
Automated Identification of Accessory Mental Foramen Using Cone-Beam Computed Tomography and Convolutional Neural Networks.

INTRODUCTION AND AIMS: To develop and evaluate a deep learning-based system for automatic detection ...

Feb 2026 41740248
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BACKGROUND AND AIM: Over recent decades, formal requirements for medical records have been strengthe...

Feb 2026 41778558
Peripheral Metabolic-Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence from Deep Metabolomic Phenotyping.

BACKGROUND: Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NI...

Feb 2026 41731715
Shaping Teacher Education Through Professional Identities: Enhancing Autism Awareness.

PURPOSE: The main aim of this study is to examine autism awareness in relation to different professi...

Feb 2026 41733874
Language-based detection of depression with machine learning: systematic review and meta-analysis.

Early detection of depression is critical for timely intervention. Natural language processing (NLP)...

Feb 2026 41735551
A systematic review on dysconnectivity in face and emotion processing networks in schizophrenia.

Schizophrenia is a complex psychiatric disorder that affects approximately 20 million people worldwi...

Feb 2026 41731284
The digital pandemic in youth: unpacking the algorithmic impact on mental health in an urbanized world.

PURPOSE OF REVIEW: Rapid urbanization and the algorithmically mediated digital environment have been...

Feb 2026 41789707
Role of lactic acid-mediated ALKBH5 in depression induced by blue light exposure at night.

Artificial light at night (ALAN) has been classified as a significant environmental endocrine disrup...

Feb 2026 41734626
ChatGPT Health performance in a structured test of triage recommendations.

ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users...

Feb 2026 41731097
Association of allostatic load index with cognitive impairment in high-risk stroke populations.

BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelera...

Feb 2026 41731369
Could sleep engineering be used to combat PTSD and depression?

Sleep engineering could be developed to provide a drug-free, non-invasive avenue to treat depression...

Feb 2026 41729810
Integrative Molecular Pattern Learning for Mental Disorders Via Dual-Effect Matrix-Enabled Multiomics Platform.

Mental health issues are surging in contemporary society, especially among adolescents and adults, h...

Feb 2026 41723703
A systematic exploration of digital biomarkers for the detection of depressive episodes in bipolar disorder.

Digital phenotyping promises to transform psychiatry by using multimodal, densely sampled data. Howe...

Feb 2026 41724810
Machine learning-based prediction and quantification of OCD surgery and pedigree effects on racehorse performance.

Osteochondritis dissecans (OCD) is a common developmental orthopedic condition in Thoroughbred raceh...

Feb 2026 41730364
Risk Modeling and Association Pathways Integrating Psychosocial Factors for Drug Misuse in Adolescents and Young Adults: A Machine Learning Approach.

INTRODUCTION: Early identification for preventing drug misuse among adolescents and young adults (AY...

Feb 2026 41722073
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