Psychiatry

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

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On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook.

Computational approaches to predicting mental health conditions in social media have been substantia...

A Hierarchical Graph Convolutional Network With Infomax-Guided Graph Embedding for Population-Based ASD Detection.

Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an...

Discovery of Shared Latent Nonlinear Effective Connectivity for EEG-Based Depression Detection.

Granger causality (GC) effective connectivity (EC) calculated from electroencephalogram (EEG) signal...

Artificial intelligence-assisted chatbot: impact on breastfeeding outcomes and maternal anxiety.

BACKGROUND: Artificial intelligence (AI) is increasingly used in healthcare interventions to provide...

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.

BACKGROUND: Conventional approaches for major depressive disorder (MDD) screening rely on two effect...

A highly scalable deep learning language model for common risks prediction among psychiatric inpatients.

BACKGROUND: There is a lack of studies exploring the performance of Transformers-based language mode...

Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis.

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magne...

Safety and User Experience of a Generative Artificial Intelligence Digital Mental Health Intervention: Exploratory Randomized Controlled Trial.

BACKGROUND: General awareness and exposure to generative artificial intelligence (AI) have increased...

[AI in mental healthcare: hope or hype?].

Artificial Intelligence (AI) holds promise for addressing significant challenges in mental healthcar...

Machine Learning-Enabled Emotion Recognition by Multisource Throat Signals.

Emotion monitoring plays a crucial role in mental health management. However, traditional methods of...

Field-Portable Technology for Illicit Drug Discrimination via Deep Learning of Hybridized Reflectance/Fluorescence Spectroscopic Fingerprints.

Novel psychoactive substances (NPS) pose one of the greatest challenges across the illicit drug land...

Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets.

Identifying likely placebo responders can help design more efficient clinical trials by stratifying ...

Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.

Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults ...

Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...

Changes in psychiatric documentation and treatment in primary care with artificial intelligence scribe use.

IMPORTANCE: Despite increasingly widespread use of artificial intelligence-driven ambient scribes in...

Tracking Conditioned Fear in Pair-Housed Mice Using Deep Learning and Real-Time Cue Delivery.

Post-traumatic stress disorder (PTSD) is a complex and prevalent neuropsychiatric condition that ari...

Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised Learning.

In this study, we attempted to identify the subtypes of autism spectrum disorder (ASD) with the help...

Utilising Machine Learning for Better Mental Health and Decision Making: A Case Study of Timebanking UK.

This study explores how the integration of predictive models with machine learning and natural langu...

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Advances in Artificial Intelligence (AI) and other technologies together with increasing economic an...

Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project.

The PERMANENS European project addresses the global public health challenge of self-harm and suicide...

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