Psychiatry

Strategies to integrate artificial intelligence in mental health services for millennials.

Caffeinated non-alcoholic beverages on the postpartum mental health related to the COVID-19 pandemic by a cross-sectional study in Argentina.

PURPOSE: This work aimed to study postpartum mental outcomes and determinants of the intake of caffe...

Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium.

BACKGROUND: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel pe...

Implementation of artificial intelligence and machine learning-based methods in brain-computer interaction.

Brain-computer interfaces are used for direct two-way communication between the human brain and the ...

Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region.

Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively cap...

Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques.

Attention deficit hyperactivity disorder (ADHD) is considered one of the most common psychiatric dis...

Design Path for a Social Robot for Emotional Communication for Children with Autism Spectrum Disorder (ASD).

Children with autism spectrum disorder (ASD) have deficits in social interaction and expressing and ...

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022.

BACKGROUND: Social media platforms have been increasingly used to express suicidal thoughts, feeling...

Pain, dynamic postural control, mental health and impact of oral health in individuals with temporomandibular disorder: A cross-sectional study.

INTRODUCTION: Some studies claim that functional changes in TMD affect the stomatognathic system (SS...

Machine Learning and Electroencephalogram Signal based Diagnosis of Dipression.

Depression is a psychological condition which hampers day to day activity (Thinking, Feeling or Acti...

Impacts of Symptom Checkers for Laypersons' Self-diagnosis on Physicians in Primary Care: Scoping Review.

BACKGROUND: Symptom checkers (SCs) for laypersons' self-assessment and preliminary self-diagnosis ar...

A CMOS Temperature Sensor with a Smart Calibrated Inaccuracy of ±0.11 (3σ).

This paper presents a BJT-based smart CMOS temperature sensor. The analog front-end circuit contains...

MS-ACGAN: A modified auxiliary classifier generative adversarial network for schizophrenia's samples augmentation based on microarray gene expression data.

Artificial intelligence-based models and robust computational methods have expedited the data-to-kno...

Higher depression risks in medium- than in high-density urban form across Denmark.

Urban areas are associated with higher depression risks than rural areas. However, less is known abo...

The effectiveness of a therapeutic robot, 'Paro', on behavioural and psychological symptoms, medication use, total sleep time and sociability in older adults with dementia: A systematic review and meta-analysis.

OBJECTIVE: To evaluate the effectiveness of a therapeutic robot, 'Paro', on anxiety, agitation, depr...

Identification of attention deficit hyperactivity disorder with deep learning model.

This article explores the detection of Attention Deficit Hyperactivity Disorder, a neurobehavioral d...

Development of deep learning model and evaluation in real clinical practice of lingual mandibular bone depression (Stafne cyst) on panoramic radiographs.

OBJECTIVES: Lingual mandibular bone depression (LMBD) is a developmental bony defect in the lingual ...

Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study.

BACKGROUND: Nurses' high workload can result in depressive symptoms. However, the research has under...

What do psychiatry researchers feel about ChatGPT? A study based on Natural Language Processing techniques.

Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism.

Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when ev...

Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors.

A recurrent neural network (RNN) can generate a sequence of patterns as the temporal evolution of th...