Psychiatry

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

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Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes.

OBJECTIVE: Machine learning (ML) is increasingly employed to diagnose medical conditions, with algor...

Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.

OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depr...

Early autism diagnosis based on path signature and Siamese unsupervised feature compressor.

Autism spectrum disorder has been emerging as a growing public health threat. Early diagnosis of aut...

Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis.

Novel features derived from imaging and artificial intelligence systems are commonly coupled to cons...

Micro-expression recognition based on multi-scale 3D residual convolutional neural network.

In demanding application scenarios such as clinical psychotherapy and criminal interrogation, the ac...

[Mental fatigue state recognition method based on convolution neural network and long short-term memory].

The pace of modern life is accelerating, the pressure of life is gradually increasing, and the long-...

[A research on depression recognition based on voice pre-training model].

For the increasing number of patients with depression, this paper proposes an artificial intelligenc...

Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data co...

The League: A person-centred approach to the development of social robotics for paediatric anxiety.

BACKGROUND: Social robots are promising tools to improve the quality of life of children and youth l...

Geriatric depression and anxiety screening via deep learning using activity tracking and sleep data.

BACKGROUND: Geriatric depression and anxiety have been identified as mood disorders commonly associa...

Artificial Intelligence: A Game-Changer for Mental Health Care.

Starting from the escalating global burden of mental health disorders, exacerbated by the COVID-19 p...

[Rare disease in the age of artificial intelligence.].

INTRODUCTION: The text examines the impact of artificial intelligence (AI) in the context of rare di...

Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach.

Pain is a common reason for accessing healthcare resources and is a growing area of research, especi...

Using Natural Language Processing to Predict Risk in Electronic Health Records.

Clinical narratives recording behaviours and emotions of patients are available from EHRs in a foren...

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