AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Anxiety

Showing 91 to 100 of 174 articles

Clear Filters

Do Anthropomorphic Chatbots Increase Counseling Satisfaction and Reuse Intention? The Moderated Mediation of Social Rapport and Social Anxiety.

Cyberpsychology, behavior and social networking
The growing demand for mental health services and artificial intelligence chatbots to replace human agents have led to increased attention to chatbot anthropomorphizing. This study explored the effect of anthropomorphism on counseling satisfaction an...

Decoding reappraisal and suppression from neural circuits: A combined supervised and unsupervised machine learning approach.

Cognitive, affective & behavioral neuroscience
Emotion regulation is a core construct of mental health and deficits in emotion regulation abilities lead to psychological disorders. Reappraisal and suppression are two widely studied emotion regulation strategies but, possibly due to methodological...

Leveraging deep learning models to understand the daily experience of anxiety in teenagers over the course of a year.

Journal of affective disorders
INTRODUCTION: Anxiety disorders are a prevalent and severe problem that are often developed early in life and can disrupt the daily lives of affected individuals for many years into adulthood. Given the persistent negative aspects of anxiety, accurat...

Stress State Classification Based on Deep Neural Network and Electrodermal Activity Modeling.

Sensors (Basel, Switzerland)
Electrodermal Activity (EDA) has become of great interest in the last several decades, due to the advent of new devices that allow for recording a lot of psychophysiological data for remotely monitoring patients' health. In this work, a novel method ...

Uncovering psychiatric phenotypes using unsupervised machine learning: A data-driven symptoms approach.

European psychiatry : the journal of the Association of European Psychiatrists
BACKGROUND: Current categorical classification systems of psychiatric diagnoses lead to heterogeneity of symptoms within disorders and common co-occurrence of disorders. We investigated the heterogeneous and overlapping nature of symptom endorsement ...

Ant Colony Optimization-Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer.

BioMed research international
Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic indicators of the disease. When cancerous cells enter one organ, there is a risk that they may spread to adjacent tissues and eventually to other organs. Can...

Robot leadership-Investigating human perceptions and reactions towards social robots showing leadership behaviors.

PloS one
Human-robot interaction research has shown that social robots can interact with humans in complex social situations and display leadership-related behaviors. Therefore, social robots could be able to take on leadership roles. The aim of our study was...

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review.

Journal of medical Internet research
BACKGROUND: Anxiety and depression are the most common mental disorders worldwide. Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence (AI) into wearable devices (wearable AI) has been exploited to provid...

The effect of an interactive robot on children's post-operative anxiety, mobilization, and parents' satisfaction; randomized controlled study.

Journal of pediatric nursing
PURPOSE: To evaluate the effect of an interactive robot on Turkish children's post-operative anxiety, mobilization, and parents' satisfaction related to post-operative care.

An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study.

International journal of environmental research and public health
PURPOSE: Mental health assessments that combine patients' facial expressions and behaviors have been proven effective, but screening large-scale student populations for mental health problems is time-consuming and labor-intensive. This study aims to ...