Psychiatry

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

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Effect of Hfe Deficiency on Memory Capacity and Motor Coordination after Manganese Exposure by Drinking Water in Mice.

Excess manganese (Mn) is neurotoxic. Increased manganese stores in the brain are associated with a n...

Pharmacokinetics of Amitriptyline HCl and Its Metabolites in Healthy African Grey Parrots ( Psittacus erithacus ) and Cockatoos (Cacatua Species).

Amitriptyline, a tricyclic antidepressant, is used clinically to treat feather-destructive behavior ...

Electroencephalographic markers of robot-aided therapy in stroke patients for the evaluation of upper limb rehabilitation.

Stroke is the leading cause of permanent disability in developed countries; its effects may include ...

Brief Report: Development of a Robotic Intervention Platform for Young Children with ASD.

Increasingly researchers are attempting to develop robotic technologies for children with autism spe...

Brief Report: A Pilot Summer Robotics Camp to Reduce Social Anxiety and Improve Social/Vocational Skills in Adolescents with ASD.

This pilot study evaluated a novel intervention designed to reduce social anxiety and improve social...

Reversal Learning Task in Children with Autism Spectrum Disorder: A Robot-Based Approach.

Children with autism spectrum disorder (ASD) engage in highly perseverative and inflexible behaviour...

Can Robotic Interaction Improve Joint Attention Skills?

Although it has often been argued that clinical applications of advanced technology may hold promise...

Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study.

BACKGROUND: Brain imaging is of limited diagnostic use in psychiatry owing to clinical heterogeneity...

From "Where" to "What": Distributed Representations of Brand Associations in the Human Brain.

Considerable attention has been given to the notion that there exists a set of human-like characteri...

Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.

In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper...

[Research on Early Identification of Bipolar Disorder Based on Multi-layer Perceptron Neural Network].

Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and h...

Robot Lies in Health Care: When Is Deception Morally Permissible?

Autonomous robots are increasingly interacting with users who have limited knowledge of robotics and...

An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand.

The loss of hand function can result in severe physical and psychosocial impairment. Thus, compensat...

Applying machine learning to facilitate autism diagnostics: pitfalls and promises.

Machine learning has immense potential to enhance diagnostic and intervention research in the behavi...

A clinical perspective on the relevance of research domain criteria in electronic health records.

OBJECTIVE: The limitations of the DSM nosology for capturing dimensionality and overlap in psychiatr...

Development of an Adolescent Depression Ontology for Analyzing Social Data.

Depression in adolescence is associated with significant suicidality. Therefore, it is important to ...

Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing.

There remain significant difficulties selecting probable candidate drugs from existing databases. We...

Identifying Clinical Study Types from PubMed Metadata: The Active (Machine) Learning Approach.

We examined a process for automating the classification of articles in MEDLINE aimed at minimising m...

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years ...

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