Psychiatry

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

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Development and validation of machine learning models to predict PTSD at multiple time points in hospitalized trauma patients.

BACKGROUND: Posttraumatic stress disorder (PTSD) is a severe trauma-related mental disorder with hig...

Dec 2025 41478384
Optimizing depression diagnosis: fNIRS and machine learning differentiate unipolar, bipolar, and healthy states.

BACKGROUND: Differentiating Unipolar Depression (UD) from Bipolar Depression (BD) remains challengin...

Dec 2025 41478383
Improving systems & communities of psychosis care: Proceedings from the 2024 Mass-STEP Conference.

A 2024 conference titled "Early Intervention in Psychosis: Systems & Communities of Care" brought to...

Dec 2025 41475222
Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.

BACKGROUND: Negative Cognitive Styles (NCS) are key features of depression contributing to severe cl...

Dec 2025 41475572
Precision prediction of posttraumatic stress disorder symptom surges: A pilot study integrating real-time daily data with supervised learning.

The application of machine learning algorithms to daily diary data represents a valuable tool for im...

Dec 2025 41461388
eMental Health Resources for Youth: Parent Perceptions of AI Matched eMental Health Resources for Their Child.

Despite high prevalence rates of pediatric mental health challenges, estimates suggest over 50% of y...

Dec 2025 41460022
Between empathy and algorithms: Navigating interpersonal dynamics in AI-augmented mental health care- Discursive review.

The rapid integration of artificial intelligence (AI) into mental health practice presents both unpr...

Dec 2025 41494438
Machine learning-based diagnosis of autism spectrum disorder in children and adolescents using eye-tracking data: a systematic review and meta-analysis.

OBJECTIVE: Eye-tracking technology has been increasingly investigated as an objective approach for d...

Dec 2025 41478162
Korean longitudinal study on digitally optimized mental healthcare: a cohort profile.

The Korean Longitudinal Study on Digitally Optimized Mental Healthcare is an innovative multicenter ...

Dec 2025 41455494
Identifying the optimal predictors for adolescent mental and physical health using machine learning methods.

BACKGROUND: Adolescent health is a worldwide concern. Previous research identified many factors of m...

Dec 2025 41453662
Are social robots more interesting than humans? Quantitative assessment of Joint Attention in autistic and typically developing children.

INTRODUCTION: Autism Spectrum Disorder (ASD) is characterized by deficits in social interaction and ...

Dec 2025 41499901
Multimorbidity and memory-related disorders in older adults: A cross-national study based on three large longitudinal cohorts.

BACKGROUND: Memory-related disorders pose a growing burden on ageing populations, yet the global und...

Dec 2025 41448400
ADHD diagnosis and biomarker detection based on multimodal graph attention convolutional neural network.

Graph neural networks (GNNs) have shown potential in analyzing brain functional networks for neurops...

Dec 2025 41455179
Causal models and network instability in neurological and psychiatric disorders: Computational and clinical perspectives.

Self-diagnosis-the capacity of a system to detect and correct its own failures-is a defining propert...

Dec 2025 41448497
A new approach in autism diagnosis: Evaluating natural interaction using point of view (POV) glasses.

This study introduces an AI-assisted method based on examiner-worn Point of View (POV) glasses and c...

Dec 2025 41456454
An Unsupervised Learning Approach for Multimodal Low Back Pain Stratification.

STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study proposes a novel stratification framework...

Dec 2025 41384355
Deep learning based treatment remission prediction to transcranial direct current stimulation in bipolar depression using EEG power spectral density.

Bipolar disorder is characterized by marked changes in mood and activity levels and is a leading cau...

Dec 2025 41478240
A five-year risk prediction model of cardiovascular disease in individuals with bipolar disorder: a nationwide register study from Sweden.

Cardiovascular disease (CVD) risk prediction models for the general population may not provide accur...

Dec 2025 41420114
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