Psychiatry

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

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Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder.

Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, th...

Monolithically-Integrated van der Waals Synaptic Memory via Bulk Nano-Crystallization.

Owing to the evolution of data-driven technologies, including the large language models, generative ...

Psychological safety and trust as drivers of teachers' continued use of AI tools in classrooms.

Despite AI tools hold significant potential to enhance English language teaching in primary educatio...

Comparative study of multi-headed and baseline deep learning models for ADHD classification from EEG signals.

The prevalence of Attention-Deficit/Hyperactivity Disorder among children is rising, emphasizing the...

Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization.

Selective serotonin reuptake inhibitors (SSRIs) like sertraline are crucial in treating depression a...

Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...

AI-Driven Discovery and Optimization of Positive Allosteric Modulators for NMDA Receptors: Potential Applications in Depression.

-Methyl-d-aspartate receptors (NMDARs) are extensively distributed throughout the central nervous sy...

Algorithmic Fairness in Machine Learning Prediction of Autism Using Electronic Health Records.

Efforts to improve early diagnosis of autism spectrum disorder (ASD) in children are beginning to us...

A Computational Framework for Tailored Preventive Care Recommendations Using Electronic Health Records.

Most healthcare systems worldwide are designed to be reactive. According to the U.S. Centers for Dis...

Machine-Learning-Based Prediction of Suicide Risk Using Preliminary Questionnaire and Consultation Text.

In Japan, chat-based mental health counseling services have low response rates due to understaffing....

Predicting Postpartum Depression Risk Using Social Determinants of Health.

Postpartum depression (PPD) affects approximately 20% of women after childbirth and has complex etio...

Predicting Antidepressant Deprescription with Machine Learning Using Administrative Data.

The high prevalence of failed antidepressant deprescription attempts makes it difficult for clinicia...

Optimizing Entity Recognition in Psychiatric Treatment Data with Large Language Models.

Extracting nuanced adverse drug reactions (ADRs) from patient self-reported messages using is pivota...

Correction to "Understanding the nature of face processing in early autism: A prospective study" by Tye et al. (2022).

Reports an error in "Understanding the nature of face processing in early autism: A prospective stud...

An Explainable Connectome Convolutional Transformer for Multimodal Autism Spectrum Disorder Classification.

The diagnosis of autism spectrum disorder (ASD) is often hampered by its heterogeneity and reliance ...

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