AIMC Topic: Mental Health
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Monitoring Mental Health: Legal and Ethical Considerations of Using Artificial Intelligence in Psychiatric Wards.
American journal of law & medicine
Feb 12, 2024
Artificial intelligence (AI) is being tested and deployed in major hospitals to monitor patients, leading to improved health outcomes, lower costs, and time savings. This uptake is in its infancy, with new applications being considered. In this Artic...
A deep learning approach for mental health quality prediction using functional network connectivity and assessment data.
Brain imaging and behavior
Feb 10, 2024
While one can characterize mental health using questionnaires, such tools do not provide direct insight into the underlying biology. By linking approaches that visualize brain activity to questionnaires in the context of individualized prediction, we...
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.
BMC medical informatics and decision making
Feb 8, 2024
BACKGROUND: The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent unmet mental health needs. Ac...
The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Jan 31, 2024
BACKGROUND: Students usually encounter stress throughout their academic path. Ongoing stressors may lead to chronic stress, adversely affecting their physical and mental well-being. Thus, early detection and monitoring of stress among students are cr...
Health Care Professionals' Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis.
JMIR mental health
Jan 23, 2024
BACKGROUND: Mental health difficulties are highly prevalent worldwide. Passive sensing technologies and applied artificial intelligence (AI) methods can provide an innovative means of supporting the management of mental health problems and enhancing ...
A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders.
Journal of affective disorders
Jan 19, 2024
BACKGROUND: Increasing an individual's ability to focus on concrete, specific detail, thus reducing the tendency toward overly broad, decontextualised generalisations about the self and world, is a target within cognitive behavioural therapy (CBT). H...
Effectiveness of animal-assisted therapy and pet-robot interventions in reducing depressive symptoms among older adults: A systematic review and meta-analysis.
Complementary therapies in medicine
Jan 15, 2024
BACKGROUND: Systematic reviews suggest that animal-assisted therapy (AAT) and pet-robot interventions (PRI) achieve a reduction in mental health variables such as depressive symptoms. However, these systematic reviews include both randomised and non-...
ChatGPT is still struggling to revolutionize mental health policy.
Asian journal of psychiatry
Jan 2, 2024
Research Letter: Could ChatGPT and Bard provide helpful responses to a person seeking advice on how to support someone with a mental health problem?
The Australian and New Zealand journal of psychiatry
Dec 26, 2023
Deep Learning and Geriatric Mental Health.
The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
Dec 5, 2023
The goal of this overview is to help clinicians develop basic proficiency with the terminology of deep learning and understand its fundamentals and early applications. We describe what machine learning and deep learning represent and explain the unde...
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