Psychiatry

Interpreting mental state decoding with deep learning models.

In mental state decoding, researchers aim to identify the set of mental states (e.g., experiencing h...

A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.

PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in ...

Pilot Mental Health, Methodologies, and Findings: A Systematic Review.

Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, w...

On the Use of Bayesian Artificial Intelligence for Hypothesis Generation in Psychiatry.

In this study, I introduce the use of Bayesian Artificial Intelligence, namely through the probabili...

Translating Natural Language Processing into Mainstream Schizophrenia Assessment.

Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation.

BACKGROUND AND HYPOTHESIS: Despite decades of "proof of concept" findings supporting the use of Natu...

Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies.

OBJECTIVES: Machine learning (ML) and natural language processing have great potential to improve ef...

There Can Be no Other Reason for this Behavior: Issues in the Ascription of Knowledge to Humans and AI.

While machine learning techniques have been used to model categorization/decision making tasks that ...

[ST segment morphological classification based on support vector machine multi feature fusion].

ST segment morphology is closely related to cardiovascular disease. It is used not only for characte...

Machines That Feel and Think: The Role of Affective Feelings and Mental Action in (Artificial) General Intelligence.

What role do affective feelings (feelings/emotions/moods) play in adaptive behaviour? What are the i...

Sharing Worlds: Design of a Real-Time Attention Classifier for Robotic Therapy of ASD Children.

Joint attention is the capacity of sharing attention between two agents and an aspect of the environ...

Three Study Cases of Social Robotics in Autism Spectrum Disorder Treatment: Personalization and Usability of CASTOR Robot.

Social assistive robotics in autism has been implemented in studies and therapies to improve social ...

Development of an Interactive Total Body Robot Enhanced Imitation Therapy for ASD children.

Autism is a neurodevelopmental disorder in which the available therapies target the improvement of s...

Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG.

In recent years, neuroscientists have been interested to the development of brain-computer interface...

Using Natural Language Processing of Clinical Notes to Predict Outcomes of Opioid Treatment Program.

Potential of natural language processing (NLP) in extracting patient's information from clinical not...

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.

Multimodal brain networks characterize complex connectivities among different brain regions from bot...

Stress Inference from Abdominal Sounds using Machine Learning.

Stress is often considered the 21 century's epidemic, affecting more than a third of the globe's pop...

Applications of Machine Learning to Improve Diagnosis, Advance Treatment, and Identify Causal Factors for Mental Disorders.

Novel Insights Into Facial Emotion Encoding in Autism Spectrum Disorder Through Deep Learning.

Machine learning paves the way toward the prevention of mental health crises.

Constructive Fuzzy Cognitive Map for Depression Severity Estimation.

Depression is a common and serious medical disorder that negatively affects the mood and the emotion...