Psychiatry

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

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Development of a short form of the Geriatric Depression Scale-30 based on item response theory and the RiskSLIM algorithm.

Recently, methods of quickly and accurately screening for geriatric depression have attracted substa...

(3)
Dec 2024 39740365
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion.

Neuroimaging techniques including functional magnetic resonance imaging (fMRI) and electroencephalog...

(1)
Dec 2024 39733703
MCBERT: A multi-modal framework for the diagnosis of autism spectrum disorder.

Within the domain of neurodevelopmental disorders, autism spectrum disorder (ASD) emerges as a disti...

Dec 2024 39722324
Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach.

BACKGROUND: Mobile devices for remote monitoring are inevitable tools to support treatment and patie...

Dec 2024 39714272
Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis.

BACKGROUND: This study investigated socio-demographic, psychiatric, and psychological characteristic...

Dec 2024 39716097
Machine learning analysis of factors affecting college students' academic performance.

This study aims to explore various key factors influencing the academic performance of college stude...

(1)
Dec 2024 39764083
Anxiety about artificial intelligence from patient and doctor-physician.

OBJECTIVE: This paper investigates the anxiety surrounding the integration of artificial intelligenc...

(1)
Dec 2024 39721348
Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes.

Many individuals with autism experience challenges using language in social contexts (i.e., pragmati...

(3)
Dec 2024 39704443
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

BACKGROUND: Digital mental health is a promising paradigm for individualized, patient-driven health ...

(2)
Dec 2024 39705068
How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machi...

Dec 2024 39775769
Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

Psychiatric disorders are influenced by genetic and environmental factors. However, their study is h...

(1)
Dec 2024 39706190
Multimodal autism detection: Deep hybrid model with improved feature level fusion.

OBJECTIVE: Social communication difficulties are a characteristic of autism spectrum disorder (ASD),...

(1)
Dec 2024 39700689
Comparison between clinician and machine learning prediction in a randomized controlled trial for nonsuicidal self-injury.

BACKGROUND: Nonsuicidal self-injury is a common health problem in adolescents and associated with fu...

Dec 2024 39695442
Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study.

OBJECTIVE: Depression has emerged as a global public health concern with high incidence and disabili...

Dec 2024 39695446
Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD.

BACKGROUND: Mental health issues pose a significant challenge for medical providers and the general ...

(3)
Dec 2024 39744548
Immune-based Machine learning Prediction of Diagnosis and Illness State in schizophrenia and bipolar Disorder: How data bias and overfitting were avoided.

In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, wit...

Dec 2024 39701331
Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness and usability of an AI-assisted tool in providing real-time...

Dec 2024 39705915
Artificial Intelligence and Its Revolutionary Role in Physical and Mental Rehabilitation: A Review of Recent Advancements.

The integration of artificial intelligence (AI) technologies into physical and mental rehabilitation...

(3)
Dec 2024 39720127
Identification of autism spectrum disorder using electroencephalography and machine learning: a review.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by communication barr...

(1)
Dec 2024 39580816
Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behavior.

Accurate analysis of anxiety behaviors in animal models is pivotal for advancing neuroscience resear...

Dec 2024 39675692
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