Psychiatry

Anxiety & Stress

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

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Cobot Motion Planning Algorithm for Ensuring Human Safety Based on Behavioral Dynamics.

Recently, the safety of workers has gained increasing attention due to the applications of collabora...

Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification From EEG.

Electroencephalography (EEG) is widely used for mental stress classification, but effective feature ...

Fear Detection in Multimodal Affective Computing: Physiological Signals versus Catecholamine Concentration.

Affective computing through physiological signals monitoring is currently a hot topic in the scienti...

Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network.

Most multicellular organisms require apoptosis, or programmed cell death, to function properly and s...

An insight into the act of iron to impede arsenic toxicity in paddy agro-system.

Surplus research on the widespread arsenic (As) revealed its disturbing role in obstructing the meta...

A Stress Test of Artificial Intelligence: Can Deep Learning Models Trained From Formal Echocardiography Accurately Interpret Point-of-Care Ultrasound?

OBJECTIVES: To test if a deep learning (DL) model trained on echocardiography images could accuratel...

Measuring Perceived Psychological Stress in Urban Built Environments Using Google Street View and Deep Learning.

An urban built environment is an important part of the daily lives of urban residents. Corresponding...

Stress Classification Using Brain Signals Based on LSTM Network.

The early diagnosis of stress symptoms is essential for preventing various mental disorder such as d...

Effects of ground robot manipulation on hen floor egg reduction, production performance, stress response, bone quality, and behavior.

Reducing floor eggs in cage-free (CF) housing systems is among primary concerns for egg producers. T...

Happy work: Improving enterprise human resource management by predicting workers' stress using deep learning.

Recently, workers in most enterprises suffer from excessive occupational stress in the workplace, wh...

Characterization of the Impacts of Living at High Altitude in Taif: Oxidative Stress Biomarker Alterations and Immunohistochemical Changes.

At high elevations, the human body experiences a number of pathological, physiological, and biochemi...

Deep learning approach identified a gene signature predictive of the severity of renal damage caused by chronic cadmium accumulation.

Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will re...

Polysomnographic identification of anxiety and depression using deep learning.

Anxiety and depression are common psychiatric conditions associated with significant morbidity and h...

Glycotherapy: A New Paradigm in Breast Cancer Research.

Breast cancer is an ancient disease recognized first by the Egyptians as early as 1600 BC. The first...

"Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning.

PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT)...

Prediction Model of Stress Intensity Factor of Circumferential Through Crack in Elbow Based on Neural Network.

Using ANSYS software to establish the finite element model of crack bending tube, the SIF at the tip...

The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we...

Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art.

Artificial intelligence (AI) and machine learning models are today frequently used for classificatio...

Update on risk factors and biomarkers of sudden unexplained cardiac death.

Sudden cardiac death (SCD) accounts for approximately 15%-20% of all deaths worldwide, the causes of...

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