Psychiatry

Anxiety & Stress

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

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Showing 169-189 of 3,585 articles
Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI).

BACKGROUND: Accurately diagnosing Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpati...

Continuous real-time detection and management of comprehensive mental states using wireless soft multifunctional bioelectronics.

Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recover...

Light spectrum mediated improved graft-healing response by enhanced expression of transport protein in vegetables under drought conditions.

Vegetable production faces unprecedented challenges due to a rapid change in climate. Among several ...

Effects of Dietary Gamma-Aminobutyric Acid (GABA) Inclusion on Acute Temperature Stress Responses in Juvenile Olive Flounder ().

This study investigated the potential of dietary gamma-aminobutyric acid (GABA) inclusion to mitigat...

Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...

Using machine learning methods to predict the outcome of psychological therapies for post-traumatic stress disorder: A systematic review.

BACKGROUND: A number of treatments are available for post-traumatic stress disorder (PTSD), however,...

Generative AI-Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study.

BACKGROUND: Cognitive behavioral therapy (CBT) is a highly effective treatment for depression and an...

Continuous nursing symptom management in cancer chemotherapy patients using deep learning.

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, a...

AI anxiety and knowledge payment: the roles of perceived value and self-efficacy.

BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant chall...

On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network.

The study introduces an innovative approach to efficient mental stress detection by combining electr...

Involvement of disulfidptosis in the pathophysiology of autism spectrum disorder.

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, with oxidative stress recog...

Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment.

Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to t...

Investigation and validation of genes associated with endoplasmic reticulum stress in diabetic retinopathy using various machine learning algorithms.

BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes, with Endoplasmic reticul...

Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.

Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. ...

Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments.

Prediction of crop yield is essential for decision-makers to ensure food security and provides valua...

Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time.

In mental health, accurate symptom assessment and precise measurement of patient conditions are cruc...

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