Psychiatry

Bipolar Disorder

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

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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 ...

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...

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...

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...

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...

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...

Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.

Electroencephalography (EEG) recordings are widely used in neuroscience to identify healthy individu...

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...

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...

Early Detection and Remote Care of Frailty for Older Adults Living in Sparsely Populated Rural Areas in Hokkaido, Japan: A Case Study.

The global increase in the number of older people aged 65 and over is causing concern in healthcare ...

The effect of esketamine on perioperative anxiety and depressive symptoms in patients undergoing total hysterectomy.

AIM: This study aimed to evaluate the effect of esketamine on perioperative anxiety and depressive s...

Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning.

IMPORTANCE: The diagnosis of schizophrenia and bipolar disorder is often delayed several years despi...

Machine learning reveals connections between preclinical type 2 diabetes subtypes and brain health.

Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...

NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.

Purpose To develop and evaluate the performance of NNFit, a self-supervised deep learning method for...

[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

This study aims to construct a machine learning model to predict depression symptoms in the elderly...

From the -Factor to Cognitive Content: Detection and Discrimination of Psychopathologies Based on Explainable Artificial Intelligence.

Differentiating psychopathologies is challenging due to shared underlying mechanisms, such as the -...

A lithium-ion batteries SOH estimation method based on extracting new features during the constant voltage charging stage and improving BPNN.

Existing state of health (SOH) estimation methods for lithium-ion batteries predominantly extract he...

The Hypothalamic Medial Preoptic Area-Paraventricular Nucleus Circuit Modulates Depressive-Like Behaviors in a Mouse Model of Postpartum Depression.

Estrogen fluctuations have been implicated in various mood disorders, including perimenopausal and p...

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