Psychiatry

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

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Machine learning-based prediction of illness course in major depression: The relevance of risk factors.

BACKGROUND: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poo...

Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.

BACKGROUND: With increasing adoption of remote clinical trials in digital mental health, identifying...

Patients' attitudes toward artificial intelligence (AI) in cancer care: A scoping review protocol.

BACKGROUND: Artificial intelligence broadly refers to computer systems that simulate intelligent beh...

Dynamic Control of Weight-Update Linearity in Magneto-Ionic Synapses.

Multifunctional hardware technologies for neuromorphic computing are essential for replicating the c...

Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder.

BACKGROUND: Anhedonia and suicidal ideation are symptoms of major depressive disorder (MDD) that are...

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders.

INTRODUCTION: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adul...

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning.

Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diag...

Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence sug...

Is Artificial Intelligence the Next Co-Pilot for Primary Care in Diagnosing and Recommending Treatments for Depression?

Depression poses significant challenges to global healthcare systems and impacts the quality of life...

Application of machine learning in depression risk prediction for connective tissue diseases.

This study retrospectively collected clinical data from 480 patients with connective tissue diseases...

Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.

Depression treatment responses vary widely among individuals. Identifying objective biomarkers with ...

Multi-center brain age prediction via dual-modality fusion convolutional network.

Accurate prediction of brain age is crucial for identifying deviations between typical individual br...

Depression-related innate immune genes and pan-cancer gene analysis and validation.

BACKGROUND: Depression, a prevalent chronic mental disorder, presents complexities and treatment cha...

A novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS.

INTRODUCTION: As a hallmark feature of amyotrophic lateral sclerosis (ALS), bulbar involvement signi...

Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

INTRODUCTION: Excessive alcohol consumption negatively impacts physical and psychiatric health, life...

Musicians and researchers: two creative professions striving to improve heart health through music.

Musicians and researchers are creative professions that share many similarities. They both aim to br...

Enhancing prediction of major depressive disorder onset in adolescents: A machine learning approach.

Major Depressive Disorder (MDD) is a prevalent mental health condition that often begins in adolesce...

Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children.

BACKGROUND: Due to the importance and the consequences of anxiety, the goals of the current study ar...

Machine-learning-based cost prediction models for inpatients with mental disorders in China.

BACKGROUND: Mental disorders are increasingly prevalent, leading to increased medical expenditures. ...

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