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Psychiatry Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 631-651 of 3,589 articles

Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals.

Mental stress can lead to traffic accidents by reducing a driver's concentration or increasing fatig...

Mar 2021 PMID: 33808147

A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach.

Tolerance to stress conditions is vital for organismal survival, including bacteria under specific e...

Mar 2021 PMID: 33757842

Reducing negative emotions in children using social robots: systematic review.

BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Socia...

Mar 2021 PMID: 33685936

Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression.

BACKGROUND: Predicting the onset and course of mood and anxiety disorders is of clinical importance ...

Feb 2021 PMID: 33667949

Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning.

We present sensing time-lapse morphogenesis of living bone cells under micro-fluidic shear stress (F...

Feb 2021 PMID: 33585849

Resting-state functional network models for posttraumatic stress disorder.

Four recent articles were examined for their use of resting-state functional magnetic resonance imag...

Feb 2021 PMID: 33566738

Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.

PURPOSE: Deep convolutional neural networks (CNN) for single photon emission computed tomography (SP...

Jan 2021 PMID: 33511425

A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.

Lodging is a common problem in rice, reducing its yield and mechanical harvesting efficiency. Rice a...

Jan 2021 PMID: 33898978

Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with...

Jan 2021 PMID: 33496211

Mediating artificial intelligence developments through negative and positive incentives.

The field of Artificial Intelligence (AI) is going through a period of great expectations, introduci...

Jan 2021 PMID: 33497424

Conversational Agents for Chronic Disease Self-Management: A Systematic Review.

We conducted a systematic literature review to assess how conversational agents have been used to fa...

Jan 2021 PMID: 33936424

Feasibility of a deep learning-based method for automated localization of pelvic floor landmarks using stress MR images.

INTRODUCTION AND HYPOTHESIS: Magnetic resonance imaging (MRI) plays an important role in assessing p...

Jan 2021 PMID: 33475815

Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.

Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to expl...

Jan 2021 PMID: 33411213

Stress detection using deep neural networks.

BACKGROUND: Over 70% of Americans regularly experience stress. Chronic stress results in cancer, car...

Dec 2020 PMID: 33380334

Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years.

BACKGROUND: Recent studies have demonstrated that passive smartphone and wearable sensor data collec...

Dec 2020 PMID: 33401123

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.

Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet t...

Dec 2020 PMID: 33371459

Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this...

Nov 2020 PMID: 33278743

Psychiatry

Browse Specialties

Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals.

A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach.

Reducing negative emotions in children using social robots: systematic review.

Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression.

Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning.

Resting-state functional network models for posttraumatic stress disorder.

Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.

A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.

Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

Mediating artificial intelligence developments through negative and positive incentives.

Conversational Agents for Chronic Disease Self-Management: A Systematic Review.

Feasibility of a deep learning-based method for automated localization of pelvic floor landmarks using stress MR images.

Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.

Stress detection using deep neural networks.

Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17-18 years.

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women.

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.

Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.

Association of Serum Vitamin D Levels and Stress Fractures in Collegiate Athletes.

Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

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