Psychiatry

Development of immersive learning framework (ILF) in achieving the goals of higher education: measuring the impact using a pre-post design.

Emerging technological tools like Artificial Intelligence-based Chatbots, digital educational altern...

Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults.

Understanding how built environment attributes affect health remains important. While many studies h...

Measurement scales of mental health related to climate change: a scoping review protocol using artificial intelligence.

INTRODUCTION: Human actions have influenced climate changes around the globe, causing extreme weathe...

Predicting individual cases of major adolescent psychiatric conditions with artificial intelligence.

Three-quarters of lifetime mental illness occurs by the age of 24, but relatively little is known ab...

Investigation of the mechanism of action of deep brain stimulation for the treatment of Parkinson's disease.

Parkinson's disease (PD) is a severe, progressive, neurological disorder. PD is not a single disease...

Natural language processing for mental health interventions: a systematic review and research framework.

Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack of obj...

[Digitization and Machine Learning in Psychotherapy Research and Clinical Practice - Potentials and Problems].

Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders.

Deep-learning approaches with data augmentation have been widely used when developing neuroimaging-b...

Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.

By mimicking the behavior of the human brain, artificial neural systems offer the possibility to fur...

Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation.

Insufficiency of training data is a persistent issue in medical image analysis, especially for task-...

The future of psychiatry with artificial intelligence: can the man-machine duo redefine the tenets?

As one of the largest contributors of morbidity and mortality, psychiatric disorders are anticipated...

Current status, challenges and future prospects in computational psychiatry: a narrative review.

BACKGROUND: Computational psychiatry is an area of scientific knowledge which lies at the intersecti...

Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review.

BACKGROUND: Schizophrenia is a severe psychiatric disorder associated with a significant negative im...

Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia.

(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations,...

Systematic review of machine learning in PTSD studies for automated diagnosis evaluation.

Post-traumatic stress disorder (PTSD) is frequently underdiagnosed due to its clinical and biologica...

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.

Mobile sensing is a ubiquitous and useful tool to make inferences about individuals' mental health b...

Machine Learning Differentiation of Autism Spectrum Sub-Classifications.

PURPOSE: Disorders on the autism spectrum have characteristics that can manifest as difficulties wit...

Examining the Impact of Assistive Technology on Psychological Health, Family Education, and Curriculum Research in Japan: Insights from Artificial Intelligence.

This study aims to analyze the effect of psychological health based on artificial intelligence agent...

Comparison of effectiveness and safety of Da Vinci robot's "3 + 1" and "4 + 1" modes of treatment for colorectal cancer.

To compare the effectiveness of the Da Vinci Surgical Robot System (DSRS) "3 + 1" and "4 + 1" models...

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

OBJECTIVE: This study proposes to identify and validate weighted sensor stream signatures that predi...

Identifying non-adult attention-deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system.

BACKGROUND: This research project aims to build a Machine Learning algorithm (ML) to predict first-t...