AIMC Topic: Anxiety

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Autonomous conversational agents for loneliness, social isolation, depression, and anxiety in older people without cognitive impairment: Systematic review and meta-analysis.

Psychological medicine
Loneliness is a major psychological challenge in older adulthood, contributing to increased risks of depression, anxiety, and mortality. Conversational agents - technologies that interact with users via natural language - have emerged as potential to...

Impact of AI Literacy on Well-Being Among Nursing Students-Mediating Roles of Empowerment and Anxiety: Cross-Sectional Study.

JMIR nursing
BACKGROUND: The integration of artificial intelligence (AI) in health care is changing nursing practice, and it calls for the acquisition of AI literacy by students, which includes knowledge, skills, and attitudes. An understanding of the effect of A...

Continuous Monitoring of Mental Health through Streaming Machine Learning with Counterfactual Explanations.

Journal of medical systems
Good mental health is crucial for well-being. Unfortunately, despite the advancements of automatic detection solutions in the mental health field, along with the existence of effective treatments, a large percentage of affected people receive no care...

The impact of negative emotions on adolescents' nonsuicidal self-injury thoughts: an integrated application of machine learning and multilevel logistic models.

PloS one
Non-Suicidal Self-Injury (NSSI) is a prevalent and complex behavior among adolescents, often linked to negative emotions such as loneliness, anxiety, and emptiness. Traditional self-report and experimental methods rely on autobiographical recall and ...

Anxiety responses and testing intentions among gay and bisexual men using an AI-powered HIV/STI risk assessment tool: a quasi-experimental study.

BMC public health
INTRODUCTION: Web-based tools for the assessment of the risk of sexually transmitted infections (STI) may increase testing but also may induce anxiety. We evaluated anxiety responses and testing intentions among gay, bisexual and other men who have s...

A novel adaptive sigma KNN model for depression and anxiety detection following the COVID 19 pandemic.

Scientific reports
Mental health disorders, such as depression and anxiety, are increasing, and thus, there is a necessity for accurate and effective detection. K-Nearest Neighbors (KNN) and extensions have been extensively used in disease detection. In this work, Adap...

From digital disruption to mental health: the impact of AI-induced educational anxiety on teacher well-being in the era of smart education.

BMC public health
BACKGROUND: In the context of artificial intelligence (AI) profoundly reshaping the educational ecosystem, teachers, as core drivers of the intelligent education era, are facing unprecedented opportunities and mental health challenges. Although AI de...

Application of Narrative and AI-Assisted Follow-Up After Voluntary Medical Male Circumcision: Multicenter, Double-Blind, Prospective, Randomized Controlled Trial.

Journal of medical Internet research
BACKGROUND: Postoperative anxiety following voluntary medical male circumcision (VMMC) poses a significant health challenge, with limited telemedicine access and inadequate communication compromising recovery and adherence. Narrative-based interventi...

Acceptability of a Conversational Agent-Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives.

JMIR human factors
BACKGROUND: The prevalence of anxiety and depression is increasing globally, outpacing the capacity of traditional mental health services. Digital mental health interventions (DMHIs) provide a cost-effective alternative, but user engagement remains l...

Cross-sectional and longitudinal associations between anxiety and acoustic-prosodic markers in adolescents.

Psychological medicine
BACKGROUND: Adolescence marks a critical period for the onset of anxiety disorders, yet they frequently remain undiagnosed due to barriers such as reluctance to self-disclose symptoms. Objective screening methods that bypass self-report may improve e...