Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis.

Although electroconvulsive therapy (ECT) is one of the most effective treatments for major depressiv...

Feb 2019 31387489
Predicting inadequate postoperative pain management in depressed patients: A machine learning approach.

Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to ...

Feb 2019 30726237
Neurodevelopmental heterogeneity and computational approaches for understanding autism.

In recent years, the emerging field of computational psychiatry has impelled the use of machine lear...

Feb 2019 30718453
Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options.

To achieve personalized medicine, an individualized treatment strategy assigning treatment based on ...

Feb 2019 30931437
Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental death.

BACKGROUND: Identification of individuals at increased risk for suicide is an important public healt...

Feb 2019 30710497
Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or conn...

Jan 2019 30674933
Quantitative Electroencephalography in Guiding Treatment of Major Depression.

This paper reviews significant contributions to the evidence for the use of quantitative electroence...

Jan 2019 30728787
Recent Developments in the Treatment of Depression.

The cognitive and behavioral interventions can be as efficacious as antidepressant medications and m...

Jan 2019 30824244
Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life.

BACKGROUND: This paper suggests a method to assess the extent to which ultra-short Heart Rate Variab...

Jan 2019 30654799
Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhoo...

Jan 2019 30650109
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.

Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However...

Jan 2019 30692945
Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various ...

Jan 2019 30641159
A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.

Advances in the medical industry has become a major trend because of the new developments in informa...

Jan 2019 30627801
Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification.

Automatic algorithms for disease diagnosis are being thoroughly researched for use in clinical setti...

Jan 2019 30686984
Sex Differences in Nociceptin/Orphanin FQ Peptide Receptor-Mediated Pain and Anxiety Symptoms in a Preclinical Model of Post-traumatic Stress Disorder.

Nociceptin/Orphanin FQ (N/OFQ) is a neuropeptide that modulates pain transmission, learning/memory, ...

Jan 2019 30670988
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts...

Jan 2019 30610202
Machine learning in suicide science: Applications and ethics.

For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has...

Jan 2019 30609102
Apps, Avatars, and Robots: The Future of Mental Healthcare.

From artificial intelligence, predictive analytics and biometric sensors, to advanced robotics, virt...

Jan 2019 30605359
Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.

Fear of pain demonstrates significant prognostic value regarding the development of persistent muscu...

Jan 2019 30627654
Learning from data to predict future symptoms of oncology patients.

Effective symptom management is a critical component of cancer treatment. Computational tools that p...

Dec 2018 30596658
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