Psychiatry

Classification of Mental Stress Levels using EEG Connectivity and Convolutional Neural Networks.

Classifying mental stress is important as it helps in identifying the type and severity of stress, which can inform the most appropriate treatment or intervention. In this study, we propose utilizing electroencephalography (EEG) signals with convolutional neural networks (CNNs) to classify four mental states: rest, control-alert, stress and stress mitigation. The mental stress state was induced us...

Deep Depression Detection with Resting-State and Cognitive-Task EEG.

Depression is a common mental disorder that negatively affects physical health and personal, social and occupational functioning. Currently, accurate and objective diagnosis of depression remains challenging, and electroencephalography (EEG) provides promising clinical practice or home use due to considerable performance and low cost. This work investigates the capabilities of deep neural networks...

Performance of Artificial Intelligence in Predicting Future Depression Levels.

Depression is a prevalent mental condition that is challenging to diagnose using conventional techniques. Using machine learning and deep learning mod...

A deep learning algorithm-based visual strategy intervention study for children with autism spectrum disorders - extraction and detection of children's behavioral features.

OBJECTIVE: Autism spectrum disorder is a group of neurodevelopmental disorders. The disease's etiology is unclear, and there is no specific drug treat...

Prediction of Mental Health Support of Employee Perceiving by Using Machine Learning Methods.

Employees' mental health addresses concerns in the technology industry phenomenon. Machine Learning (ML) approaches show promise in predicting mental ...

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study.

BACKGROUND AND HYPOTHESIS: The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potenti...

Studying Healthy Psychosislike Experiences to Improve Illness Prediction.

IMPORTANCE: Distinguishing delusions and hallucinations from unusual beliefs and experiences has proven challenging.

Conversational Artificial Intelligence and Distortions of the Psychotherapeutic Frame: Issues of Boundaries, Responsibility, and Industry Interests.

Relational Reciprocity from Conversational Artificial Intelligence in Psychotherapy.

Staying Curious With Conversational AI in Psychotherapy.

Justice, Vulnerable Populations, and the Use of Conversational AI in Psychotherapy.

Toward Relational Diversity for AI in Psychotherapy.

[Research on eye movement data classification using support vector machine with improved whale optimization algorithm].

When performing eye movement pattern classification for different tasks, support vector machines are greatly affected by parameters. To address this p...

[Artificial intelligence and psychiatry: questions from psychiatrists to ChatGPT].

Psychiatrists and psychotherapists specialising in the fields of addiction, personality disorders, ADHD and suicidal crisis, we questioned the ChatGPT...

[Identifying Depressive Disorder With Sleep Electroencephalogram Data: A Study Based on Deep Learning].

OBJECTIVE: To explore the effectiveness of using deep learning network combined Vision Transformer (ViT) and Transformer to identify patients with dep...

Basic performance of domestic surgical robot and the safety and effectiveness of integrated energy equipment.

OBJECTIVES: Surgical robot system has broken the limitation of traditional surgery and shown excellent performance in surgery, and has been widely use...

Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data.

IMPORTANCE: Diagnoses and treatment of mental disorders are hampered by the current lack of objective markers needed to provide a more precise diagnos...

[Surgical Technique for Mesorectal Division in the Robotic Anterior Resection for Rectal Cancer].

Since April 2018, robot-assisted rectal resection has been approved as an insurance medical treatment, and robot- assisted rectal resection is rapidly...

Artificial Intelligence (AI) Psychotherapy: Coming Soon to a Consultation Room Near You?

A social theory-enhanced graph representation learning framework for multitask prediction of drug-drug interactions.

Current machine learning-based methods have achieved inspiring predictions in the scenarios of mono-type and multi-type drug-drug interactions (DDIs),...