Psychiatry

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

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Monopolar, bipolar, tripolar, and tetrapolar configurations in robot assisted electrical impedance sensing.

Tissue recognition is a critical process during a Robot-assisted minimally invasive surgery (RMIS) a...

Online music-assisted rehabilitation system for depressed people based on deep learning.

The processing of negative emotions is closely related to the occurrence of depression, and improvin...

Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries.

The aim of this paper is to identify the barriers that are specifically relevant to the use of Artif...

IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.

The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and en...

Exploring COVID-19-Related Stressors: Topic Modeling Study.

BACKGROUND: The COVID-19 pandemic has affected the lives of people globally for over 2 years. Change...

Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.

CNS disorders are indications with a very high unmet medical needs, relatively smaller number of ava...

Automatic Identification of Depression Using Facial Images with Deep Convolutional Neural Network.

BACKGROUND Depression is a common disease worldwide, with about 280 million people having depression...

Otisma: an integrated application and humanoid robot as an educational tool for children with autism.

Autistic children have difficulty communicating wants, needs, and thoughts. In cases of low function...

EEG based depression recognition using improved graph convolutional neural network.

Depression is a global psychological disease that does serious harm to people. Traditional diagnosti...

Deep Learning-Based Mental Health Model on Primary and Secondary School Students' Quality Cultivation.

The purpose was to timely identify the mental disorders (MDs) of students receiving primary and seco...

Two stream Non-Local CNN-LSTM network for the auxiliary assessment of mental retardation.

At present, the assessment of mental retardation is mainly based on clinical interview, which requir...

DAC Stacking: A Deep Learning Ensemble to Classify Anxiety, Depression, and Their Comorbidity From Reddit Texts.

Depression is the most incapacitating disease worldwide, and it has an alarming comorbidity rate wit...

Does attributing mental states to a robot influence accessibility of information represented during reading?

When we read fiction, we encounter characters that interact in the story. As such, we encode that in...

Deep learning-based integration of genetics with registry data for stratification of schizophrenia and depression.

Currently, psychiatric diagnoses are, in contrast to most other medical fields, based on subjective ...

Influence of Artificial Intelligence in Education on Adolescents' Social Adaptability: A Machine Learning Study.

This study aimed to investigate the influence of artificial intelligence in education (AIEd) on adol...

Social robots in the instruction of social skills in autism: a comprehensive descriptive analysis of single-case experimental designs.

PURPOSE: The rapid technological advances, the traits of individuals with ASD and their interest in ...

A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults.

Artificial intelligence techniques were explored to assess the ability to anticipate self-harming be...

What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?

BACKGROUND: To deliver appropriate mental healthcare interventions and support, it is imperative to ...

A novel machine learning approach to shorten depression risk assessment for convenient uses.

BACKGROUND: Depression is a mental disorder affecting many people worldwide which has been exacerbat...

Exploring Characteristics of Homicide Offenders With Schizophrenia Spectrum Disorders Via Machine Learning.

The link between schizophrenia and homicide has long been the subject of research with significant i...

Restorative rehabilitation robotics to promote function, independence and dignity: users' perspectives on clinical applications.

People with mobility impairments have reported that improving their walking is one of the most impor...

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