Psychiatry

Bipolar Disorder

Latest AI and machine learning research in bipolar disorder for healthcare professionals.

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Showing 841-861 of 1,252 articles
Advances in EEG-based detection of Major Depressive Disorder using shallow and deep learning techniques: A systematic review.

The contemporary diagnosis of Major Depressive Disorder (MDD) primarily relies on subjective assessm...

Jun 2025 40273818
A novel framework for seasonal affective disorder detection: Comprehensive machine learning analysis using multimodal social media data and SMOTE.

Seasonal Affective Disorder (SAD) is a mood disorder characterized by recurring depressive episodes ...

Jun 2025 40328104
Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID-19 Pandemic.

Hair cortisol concentration (HCC) has been theorized to reflect chronic stress, and maternal and inf...

Jun 2025 40444444
A novel artificial intelligence-based methodology to predict non-specific response to treatment.

Non-specific response to treatment (NSRT) is the primary contributor to the failure of randomized cl...

Jun 2025 40262198
Predictors of smartphone addiction in adolescents with depression: combing the machine learning and moderated mediation model approach.

Smartphone addiction (SA) significantly impacts the physical and mental health of adolescents, and c...

Jun 2025 40262465
Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.

BACKGROUND: Conventional approaches for major depressive disorder (MDD) screening rely on two effect...

May 2025 40446148
Accurate Prediction of Open-Circuit Voltages of Lithium-Ion Batteries via Delta Learning.

Accurate prediction of lithium-ion battery capacity before material synthesis is crucial for acceler...

May 2025 40372942
Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...

May 2025 40378144
Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets.

Identifying likely placebo responders can help design more efficient clinical trials by stratifying ...

May 2025 40389790
Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain.

Pain is common in middle-aged and older adults, has also been identified as a fall risk factor, wher...

May 2025 40379780
Machine-Learning-Guided Screening of Advantageous Solvents for Solid Polymer Electrolytes in Lithium Metal Batteries.

Trace residual solvents in solid polymer electrolytes (SPEs) significantly affect electrolyte and in...

May 2025 40314621
Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks.

BACKGROUND: This study aimed to determine whether handwriting patterns are altered in individuals ex...

May 2025 40361104
Blood immuno-metabolic biomarker signatures of depression and affective symptoms in young adults.

BACKGROUND: Depression is associated with alterations in immuno-metabolic biomarkers, but it remains...

May 2025 40374127
From Sodium Storage Mechanism to Design of High-Capacity Carbon-Based Anode: A Review.

Sodium-ion batteries (SIBs) have emerged as a viable alternative to lithium-ion technologies, with c...

May 2025 40428987
Image-Guided Microstructure Optimization using Diffusion Models: Validated with Li-Mn-rich Cathode Precursors

Microstructure often dictates materials performance, yet it is rarely treated as an explicit desig...

Construction of disability risk prediction model for the elderly based on machine learning.

The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...

May 2025 40346175
The Association Between Psychotropic Medications and Cognitive Functioning in a Real-World Cohort of 869 Individuals with Schizophrenia.

BACKGROUND: Cognitive deficits are a central feature of schizophrenia for which there are not any es...

May 2025 40341586
A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos

Parkinson's disease (PD) is a neurodegenerative disorder, manifesting with motor and non-motor sym...

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