Psychiatry

Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism.

Social interaction quality ratings derived from short natural conversations can differentiate childr...

Artificial Intelligence Applications in Space Medicine.

During future interplanetary space missions, a number of health conditions may arise, owing to the h...

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

Depression is a common mental disorder that negatively affects physical health and personal, social ...

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, w...

Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions.

The integration of Electronic Health Records (EHRs) with Machine Learning (ML) models has become imp...

Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations.

Identifying subtypes of neuropsychiatric disorders based on characteristics of their brain activity ...

A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data.

Understanding the structural and functional mechanisms of the brain is challenging for mood and ment...

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.

OBJECTIVE: Multiple sclerosis (MS) is a chronic neurological condition of the central nervous system...

Global Mental Health Services and the Impact of Artificial Intelligence-Powered Large Language Models.

Performance of Artificial Intelligence in Predicting Future Depression Levels.

Depression is a prevalent mental condition that is challenging to diagnose using conventional techni...

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 etiolo...

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 ...

Fingerprints as Predictors of Schizophrenia: A Deep Learning Study.

BACKGROUND AND HYPOTHESIS: The existing developmental bond between fingerprint generation and growth...

Social media: generative AI could harm mental health.

Toward Relational Diversity for AI in Psychotherapy.

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

Staying Curious With Conversational AI in Psychotherapy.

Relational Reciprocity from Conversational Artificial Intelligence in Psychotherapy.

Viewing CAI as a Tool Within the Mental Health Care System.

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

Studying Healthy Psychosislike Experiences to Improve Illness Prediction.

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