Psychiatry

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

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The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior.

More and more machine learning is applied to human behavior. Increasingly these algorithms suffer fr...

A feasibility study of robot-assisted percutaneous reduction and fixation technique for treating posterolateral depression tibial plateau fractures.

Posterolateral (PL)-depression fractures of the tibial plateau are difficult to manage. The aim of t...

Development of depression assessment tools using humanoid robots -Can tele-operated robots talk with depressive persons like humans?

BACKGROUND: Depression is a common mental disorder and causes significant social loss. Early interve...

Robotic pancreatic tumor enucleation by the double bipolar technique using the da Vinci SP system: An initial case report with a technical detail.

Pancreatic tumor enucleation is a procedure that can preserve pancreatic function and is sometimes p...

Unlocking the potential: Exploring the opportunities for occupational therapists in cyberpsychology.

It has long been established that occupational therapists (OTs) play an important role in assisting ...

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy.

INTRODUCTION: The externalizing disorders of attention deficit hyperactivity disorder (ADHD), opposi...

Toward explainable AI (XAI) for mental health detection based on language behavior.

Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particu...

Depression Identification Using EEG Signals via a Hybrid of LSTM and Spiking Neural Networks.

Depression severity can be classified into distinct phases based on the Beck depression inventory (B...

Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection.

Autism Spectrum Disorder (ASD) is a complex and heterogeneous neurodevelopmental disorder which affe...

Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder.

BACKGROUND: Artificial intelligence (AI) has been the subject of studies in autism spectrum disorder...

Predicting Outcomes of Antidepressant Treatment in Community Practice Settings.

OBJECTIVE: The authors examined whether machine-learning models could be used to analyze data from e...

Deep Learning and Geriatric Mental Health.

The goal of this overview is to help clinicians develop basic proficiency with the terminology of de...

On artificial intelligence and global mental health.

Artificial intelligence (AI) is affecting global societies and reshaping the status quo. AI technolo...

Stress Monitoring in Free-Living Environments.

Stress monitoring is an important area of research with significant implications for individuals' ph...

Evaluation of deep learning-based depression detection using medical claims data.

Human accuracy in diagnosing psychiatric disorders is still low. Even though digitizing health care ...

Arts therapies for mental disorders in COVID-19 patients: a comprehensive review.

BACKGROUND AND OBJECTIVE: The COVID-19 global pandemic has necessitated the urgency for innovative m...

Clinical decision-making in benzodiazepine deprescribing by healthcare providers vs. AI-assisted approach.

AIMS: The aim of this study was to compare the clinical decision-making for benzodiazepine deprescri...

An EEG-based marker of functional connectivity: detection of major depressive disorder.

Major depressive disorder (MDD) is a prevalent psychiatric disorder globally. There are many assays ...

Effects of Transcranial Direct Current Stimulation on Cognitive Deficits in Depression: A Systematic Review.

BACKGROUND: Major depressive disorder is the leading cause of mental health-related burden globally ...

An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance.

PURPOSE OF REVIEW: This paper provides an overview of generative artificial intelligence (AI) and th...

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