Psychiatry

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

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Unlocking autism's complexity: the e Initiative's path to comprehensive motor function analysis.

The long-standing practice of using manualized inventories and observational assessments to diagnose...

Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.

BACKGROUND: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts ...

Responsible Design, Integration, and Use of Generative AI in Mental Health.

Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, a...

A machine learning-based model for predicting the risk of cognitive frailty in elderly patients on maintenance hemodialysis.

Elderly patients undergoing maintenance hemodialysis (MHD) face a heightened risk of cognitive frail...

Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.

BACKGROUND: Depression significantly impacts an individual's thoughts, emotions, behaviors, and mood...

Developing a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study.

BACKGROUND: Patient engagement is a critical but challenging public health priority in behavioral he...

A Deep Learning Approach for Mental Fatigue State Assessment.

This study investigates mental fatigue in sports activities by leveraging deep learning techniques, ...

Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder.

INTRODUCTION: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical pr...

Interpretable and integrative deep learning for discovering brain-behaviour associations.

Recent advances highlight the limitations of classification strategies in machine learning that rely...

Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters.

The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. Th...

Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review.

BACKGROUND: The use of natural language processing (NLP) in mental health research is increasing, wi...

Predicting conversion to psychosis using machine learning: response to Cannon.

BACKGROUND: We previously reported that machine learning could be used to predict conversion to psyc...

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...

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