Psychiatry

Bipolar Disorder

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

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Showing 862-882 of 1,252 articles
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling

Generative diffusion models have achieved remarkable success in producing high-quality images. How...

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 ...

May 2025 40525007
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...

May 2025 39969874
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...

May 2025 40344352
DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification

The physics-based Doyle-Fuller-Newman (DFN) model, widely adopted for its precise electrochemical ...

MDD-LLM: Towards Accuracy Large Language Models for Major Depressive Disorder Diagnosis

Major depressive disorder (MDD) impacts more than 300 million people worldwide, highlighting a sig...

Learning to fuse: dynamic integration of multi-source data for accurate battery lifespan prediction

Accurate prediction of lithium-ion battery lifespan is vital for ensuring operational reliability ...

Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity

Depression is a complex mental disorder characterized by a diverse range of observable and measura...

Prognosis Of Lithium-Ion Battery Health with Hybrid EKF-CNN+LSTM Model Using Differential Capacity

Battery degradation is a major challenge in electric vehicles (EV) and energy storage systems (ESS...

Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling

The 3D microstructure of porous media, such as electrodes in lithium-ion batteries or fiber-based ...

A multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based MLP

Lithium-ion battery health management has become increasingly important as the application of batt...

Euclidean Distance to Convex Polyhedra and Application to Class Representation in Spectral Images

With the aim of estimating the abundance map from observations only, linear unmixing approaches ar...

Neural Constraints on Cognitive Experience and Mental Health

Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuro...

Diagnostic-free onboard battery health assessment

Diverse usage patterns induce complex and variable aging behaviors in lithium-ion batteries, compl...

Efficient Fault Diagnosis in Lithium-Ion Battery Packs: A Structural Approach with Moving Horizon Estimation

Safe and reliable operation of lithium-ion battery packs depends on effective fault diagnosis. How...

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...

Mar 2025 39812584
Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization

Large Language Models (LLMs) have been previously explored for mental healthcare training and ther...

[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...

Feb 2025 39965839
LLM Assistance for Pediatric Depression

Traditional depression screening methods, such as the PHQ-9, are particularly challenging for chil...

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