Psychiatry

The Human Phenotype Ontology in 2024: phenotypes around the world.

The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defi...

Large-scale Text Mining of Suicide Attempt improves Identification of Distinct Suicidal Events in Electronic Health Records.

In this study, we explore a natural language processing (NLP) algorithm's capacity to identify proxi...

Emulation of a Target Trial to Estimate the Effect of Selective Serotonin Reuptake Inhibitors on the Development of Antimicrobial-Resistant Infections using Electronic Health Record Data and Causal Machine Learning.

Antimicrobial resistance is a significant public health concern. The use of selective serotonin reup...

Deep Learning-based Time-to-event Analysis of Depression and Asthma using the All of Us Research Program.

While there is a growing recognition of the association between depression and asthma, few studies h...

Integrating AI into Clinical Workflows: A Simulation Study on Implementing AI-aided Same-day Diagnostic Testing Following an Abnormal Screening Mammogram.

Artificial intelligence (AI) shows promise in clinical tasks, yet its integration into workflows rem...

Improving Psychiatry Services with Artificial Intelligence: Opportunities and Challenges.

Mental disorders are a critical global public health problem due to their increasing prevalence, ris...

Towards a New Era in Science, Education, and Clinical Practice: The Promise of Artificial Intelligence in Psychiatry.

[An integrative review documenting creativity in the utilization of digital health and artificial intelligence at the Institut universitaire en santé mentale de Montréal].

Objective Founded in 1873, the Institut universitaire en santé mentale de Montréal (IUSMM) has a cap...

Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy.

Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well establishe...

Using AI and ML to Predict Autism Spectrum Disorder.

Autism spectrum disorder is a condition that showcases the potential usefulness of artificial intell...

Navigating the Intersection of Technology and Depression Precision Medicine.

This chapter primarily focuses on the progress in depression precision medicine with specific emphas...

The New Emerging Treatment Choice for Major Depressive Disorders: Digital Therapeutics.

The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach ...

Identification and Prioritization of Health Indexes in Nomadic Tribespeople by Fuzzy Delphi Method: An Ecological Study.

The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related ...

[AI based Evaluation of Psychotrauma related to Lahars in the Commune of Prêcheur in the French Antilles].

Objectives Natural disasters have a significant impact on mental health. Data collected from the pop...

A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG.

BACKGROUND: Autism Spectrum Disorder (ASD) is a condition with social interaction, communication, an...

Mental fatigue recognition study based on 1D convolutional neural network and short-term ECG signals.

BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life, as well as one...

Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

BACKGROUND: Connectome is understanding the complex organization of the human brain's structural and...

Simplifying Alzheimer's Disease Monitoring: A Novel Machine-Learning Approach to Estimate the Clinical Dementia Rating Sum of Box Changes Using the Mini-Mental State Examination and Functional Activities Questionnaire.

BACKGROUND: Primary outcome measure in the clinical trials of disease modifying therapy (DMT) drugs ...

Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

There is clear scientific evidence that physical activity helps to prevent depression and anxiety. U...

Persons or data points? Ethics, artificial intelligence, and the participatory turn in mental health research.

This article identifies and examines a tension in mental health researchers' growing enthusiasm for ...

A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.

Technological advances in the assessment and understanding of speech and language within the domains...