Psychiatry

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

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Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.

Identifying subtypes of Alzheimer's Disease (AD) can lead towards the creation of personalized inter...

Jun 2020 32570434
Outcomes of a Robot-Assisted Social-Emotional Understanding Intervention for Young Children with Autism Spectrum Disorders.

This study is a randomized control trial aimed at testing the role of a human-assisted social robot ...

Jun 2020 30852783
Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio ...

Jun 2020 32374378
Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions.

Mobile mental health interventions have the potential to reduce barriers and increase engagement in ...

May 2020 33912357
Examining joint attention with the use of humanoid robots-A new approach to study fundamental mechanisms of social cognition.

This article reviews methods to investigate joint attention and highlights the benefits of new metho...

Apr 2020 31848909
Depression screening using mobile phone usage metadata: a machine learning approach.

OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burd...

Apr 2020 31977041
Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. ...

Mar 2020 32103250
Increasing the Clinical Psychiatric Knowledge Base About Pathogenic Copy Number Variation.

Specific copy number variants (CNVs) have been robustly associated with intellectual disability, aut...

Mar 2020 32114777
Functional, Anatomical, and Morphological Networks Highlight the Role of Basal Ganglia-Thalamus-Cortex Circuits in Schizophrenia.

Evidence from electrophysiological, functional, and structural research suggests that abnormal brain...

Feb 2020 31206161
Identifying Schizo-Obsessive Comorbidity by Tract-Based Spatial Statistics and Probabilistic Tractography.

A phenomenon in schizophrenia patients that deserves attention is the high comorbidity rate with obs...

Feb 2020 31355879
Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and persona...

Feb 2020 33022604
Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.

BACKGROUND: All patients admitted to an acute inpatient mental health unit must have nursing observa...

Feb 2020 32046991
Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence.

Despite the high level of interest in the use of machine learning (ML) and neuroimaging to detect ps...

Jan 2020 30809667
Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness.

The rapid embracing of artificial intelligence in psychiatry has a flavor of being the current "wild...

Jan 2020 31901100
Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.

BACKGROUND: Digital phenotyping is the use of data from smartphones and wearables collected in situ ...

Jan 2020 32796192
Artificial Intelligence and the Future of Psychiatry.

An estimated 792 million people live with mental health disorders worldwide-more than one in ten peo...

Jan 2020 32559160
"Sorry I Didn't Hear You." The Ethics of Voice Computing and AI in High Risk Mental Health Populations.

This article examines the ethical and policy implications of using voice computing and artificial in...

Jan 2020 32228383
Hierarchical Structured Sparse Learning for Schizophrenia Identification.

Fractional amplitude of low-frequency fluctuation (fALFF) has been widely used for resting-state fun...

Jan 2020 31016571
Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning.

IMPORTANCE: Compared with the treatment of physical conditions, the quality of care of mental health...

Jan 2020 31436785
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