Psychiatry

Anxiety & Stress

Latest AI and machine learning research in anxiety & stress for healthcare professionals.

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Showing 148-168 of 3,585 articles
Deep learning based abiotic crop stress assessment for precision agriculture: A comprehensive review.

Abiotic stresses are a leading cause of crop loss and a severe peril to global food security. Precis...

A lightweight deep learning model for multi-plant biotic stress classification and detection for sustainable agriculture.

Plant pathogens and pests hinder general plant health, resulting in poor agricultural yields and pro...

Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.

Measuring medication discontinuation in claims data primarily relies on the gaps between prescriptio...

Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.

The aim of the study was to determine how depression and cognitive dysfunction in patients with chro...

Resilience response of China's terrestrial ecosystem gross primary productivity under environmental stress.

Climate change perturbations contribute to the alteration of ecosystem functions and the reduction o...

Photoplethysmography-based HRV analysis and machine learning for real-time stress quantification in mental health applications.

Prolonged exposure to high-stress environments can lead to mental illnesses such as anxiety disorder...

Effect of a ChatGPT-based digital counseling intervention on anxiety and depression in patients with cancer: A prospective, randomized trial.

BACKGROUND: Psychological distress is prevalent among newly diagnosed cancer patients, often exacerb...

Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging.

We previously demonstrated that a deep learning (DL) model of myocardial perfusion SPECT imaging imp...

Enhancing smart healthcare with female students' stress and anxiety detection using machine learning.

Machine learning (ML) is widely used to predict and detect stress and anxiety. Early detection of st...

Surrogate Model Development for Digital Experiments in Welding.

The manufacturing industry heavily relies on welding processes to join materials, forming integral c...

Circulating microRNA profiles are associated with acute pain and stress in castrated and tail docked lambs.

Maintaining animal welfare is an essential component of animal production systems. However, multiple...

Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study.

BACKGROUND: While cognitive behavioral therapy has shown efficacy in treating stress-related disorde...

Psychometric properties and Turkish adaptation of the artificial intelligence attitude scale (AIAS-4): evidence for construct validity.

Artificial intelligence (AI) attitude scales can be used to better evaluate the benefit and drawback...

Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder.

Facial expressions are an essential component of emotions that may reveal mechanisms maintaining pos...

Association of Psychological Resilience With Decelerated Brain Aging in Cognitively Healthy World Trade Center Responders.

BACKGROUND: Despite their exposure to potentially traumatic stressors, the majority of World Trade C...

Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasks.

This study introduces a thoughtfully curated dataset comprising electroencephalogram (EEG) recording...

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