Psychiatry

Neuronetwork Approach in the Early Diagnosis of Depression.

BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from dep...

Deep learning-based activity recognition and fine motor identification using 2D skeletons of cynomolgus monkeys.

Video-based action recognition is becoming a vital tool in clinical research and neuroscientific stu...

Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

Social determinants of health (SDoH) are known to impact the health and well-being of patients. How...

Hypomagnesemia and 25-hydroxyvitamin D deficiency in patients with long COVID.

Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in pat...

A convolutional neural network-based decision support system for neonatal quiet sleep detection.

Sleep plays an important role in neonatal brain and physical development, making its detection and c...

Considering ChatGPT to be the first aid for young adults on mental health issues.

Providing mental health support and interventions through artificial intelligence can open up more s...

Artificial Intelligence Applications in Space Medicine.

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

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

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

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...

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...

Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations.

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

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...

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

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

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...

Studying Healthy Psychosislike Experiences to Improve Illness Prediction.

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

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.