Psychiatry

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

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Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data.

Early diagnosis and access to resources, support and therapy are critical for improving long-term ou...

CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library SVM.

Human emotions are not necessarily tends to produce right facial expressions as there is no well def...

Developing a standardized framework for evaluating health apps using natural language processing.

Despite regulatory efforts, many smartphone health applications remain unregulated, raising concerns...

Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles.

Autism spectrum disorder (ASD) presents significant challenges in diagnosis and intervention due to ...

Greenspace and depression incidence in the US-based nationwide Nurses' Health Study II: A deep learning analysis of street-view imagery.

BACKGROUND: Greenspace exposure is associated with lower depression risk. However, most studies have...

Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

Estimating depression severity in narrative clinical notes using large language models.

BACKGROUND: Depression treatment guidelines emphasize measurement-based care using patient-reported ...

Photoplethysmography-based HRV analysis and machine learning for real-time stress quantification in mental health applications.

Prolonged exposure to high-stress environments can lead to mental illnesses such as anxiety disorder...

Effect of a ChatGPT-based digital counseling intervention on anxiety and depression in patients with cancer: A prospective, randomized trial.

BACKGROUND: Psychological distress is prevalent among newly diagnosed cancer patients, often exacerb...

An enhanced CNN-Bi-transformer based framework for detection of neurological illnesses through neurocardiac data fusion.

Classical approaches to diagnosis frequently rely on self-reported symptoms or clinician observation...

Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles.

Multiview learning (MvL) is an advancing domain in machine learning, leveraging multiple data perspe...

Digital interventions in mental health: An overview and future perspectives.

As e-health offerings rapidly expand, they are transforming and challenging traditional mental healt...

Integrative Multi-Omics and Routine Blood Analysis Using Deep Learning: Cost-Effective Early Prediction of Chronic Disease Risks.

Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progressio...

Beyond the Mirror: Body Dysmorphic Disorder and Emerging Dysmorphias in Aesthetic Surgery.

Driven by social media and artificial intelligence technologies, new dysmorphias increase pressures ...

Gene age gap estimate (GAGE) for major depressive disorder: A penalized biological age model using gene expression.

Recent associations between Major Depressive Disorder (MDD) and measures of premature aging suggest ...

Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing.

Brain age gap, the difference between estimated brain age and chronological age via magnetic resonan...

Artificial Intelligence in Mental Health Nursing: Balancing Clinical Efficiency and the Human Touch-A Quest for a New Synthesis.

BACKGROUND: Artificial intelligence (AI) applications are increasingly being integrated into mental ...

Opportunities and Challenges for Large Language Models in Primary Health Care.

Primary Health Care (PHC) is the cornerstone of the global health care system and the primary object...

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