Psychiatry

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

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Could a rising robot workforce make humans less prejudiced?

Automation is becoming ever more prevalent, with robot workers replacing many human employees. Many ...

Jan 2020 31916781
Assessing various sensorimotor and cognitive functions in people with epilepsy is feasible with robotics.

BACKGROUND: Epilepsy is a common neurological disorder characterized by recurrent seizures, along wi...

Jan 2020 31918991
Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression.

IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent ident...

Jan 2020 31899530
A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents.

Adolescence is a time of extensive neural restructuring, leaving one susceptible to atypical develop...

Jan 2020 31896669
Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. ...

Dec 2019 31889427
Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out.

We examined a model of psychopathology variables, age and sex as correlates of problematic smartphon...

Dec 2019 31901886
Ensemble Learning for Early-Response Prediction of Antidepressant Treatment in Major Depressive Disorder.

BACKGROUND: In order to reduce unsuccessful treatment trials for depression, neuroimaging and geneti...

Dec 2019 31859419
Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: A machine learning approach.

The availability of large-scale datasets and sophisticated machine learning tools enables developing...

Dec 2019 31862473
Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.

Data science and digital technologies have the potential to transform diagnostic classification. Dig...

Dec 2019 32085921
Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry.

Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a per...

Dec 2019 31834531
Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships.

BACKGROUND: In 2009, the National Institute of Mental Health launched the Research Domain Criteria, ...

Dec 2019 32040421
Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.

OBJECTIVE: To employ machine learning algorithms to examine patterns of rumination from RDoC perspec...

Dec 2019 31865210
The use of machine learning techniques in trauma-related disorders: a systematic review.

Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Postt...

Dec 2019 31830722
Developing algorithms to predict adult onset internalizing disorders: An ensemble learning approach.

A growing literature is utilizing machine learning methods to develop psychopathology risk algorithm...

Dec 2019 31864158
Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement.

Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, locati...

Dec 2019 32329723
Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy.

BACKGROUND: Functional near-infrared spectroscopy (fNIRS) was used to investigate spontaneous hemody...

Nov 2019 31794776
Prediction of lithium response using clinical data.

OBJECTIVE: Promptly establishing maintenance therapy could reduce morbidity and mortality in patient...

Nov 2019 31667829
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