AIMC Topic: Mental Health

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Social media: generative AI could harm mental health.

Nature May 1, 2023
Mental Health Social Media Humans Artificial Intelligence
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ChatGPT: Impact of an artificial author on bibliometrics.

Indian journal of medical ethics Jan 1, 2023
The use of Artificial Intelligence (AI) in medical science has been widely discussed and debated. Topol foresaw that AI, particularly deep learning, would be used in a variety of applications, with users ranging from specialty doctors to paramedics [...
Humans Bibliometrics Paramedics Mental Health Male Artificial Intelligence Medicine
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The Impact of Artificial Intelligence on Psychiatry: Benefits and Concerns-An essay from a disputed 'author'.

Turk psikiyatri dergisi = Turkish journal of psychiatry Jan 1, 2023
Humans Artificial Intelligence Psychiatry Risk Factors Reproducibility of Results Mental Health
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Pilot Mental Health, Methodologies, and Findings: A Systematic Review.

Aerospace medicine and human performance Sep 1, 2022
Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, where the copilot intentionally crashed the aircraft into the French Alps, killing all on board. An investigation of this incident found that the pilot...
Aircraft Anxiety Humans Pilots Suicide Mental Health
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Machine learning paves the way toward the prevention of mental health crises.

Nature medicine Jun 1, 2022
Mental Health Machine Learning Algorithms
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The Digital Transformation of Mental Health Care and Psychotherapy - A Market and Research Maturity Analysis.

Studies in health technology and informatics May 16, 2022
Digital technology trends for mental health, instantiated with only emerging use cases or already established applications, offer significant potential to improve clinical therapy and care. In this paper, we identify five major trends, mHealth/eHealt...
Psychotherapy Telemedicine Mental Health Big Data Artificial Intelligence
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A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.

Studies in health technology and informatics Jan 14, 2022
Zoning classification is a rating mechanism, which uses a three-tier color coding to indicate perceived risk from the patients' conditions. It is a widely adopted manual system used across mental health settings, however it is time consuming and cost...
Mental Health Natural Language Processing Supervised Machine Learning Machine Learning Electronic Health Records Humans
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Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries.

American journal of epidemiology Dec 1, 2021
Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts might offer opportunities for prevention. This case-cohort study used machine learning to examine sex-specific risk profiles for suicide attempts in Dani...
Emigrants and Immigrants Risk Factors Young Adult Health Status Adult Mental Disorders Denmark Mental Health Suicide, Attempted Female Humans Registries Adolescent Machine Learning Sociodemographic Factors Male Middle Aged
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Population modeling with machine learning can enhance measures of mental health.

GigaScience Oct 13, 2021
BACKGROUND: Biological aging is revealed by physical measures, e.g., DNA probes or brain scans. In contrast, individual differences in mental function are explained by psychological constructs, e.g., intelligence or neuroticism. These constructs are ...
Humans Machine Learning Aging Brain Neuroimaging Mental Health
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Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research.

European child & adolescent psychiatry Aug 1, 2021
Machine Learning Mental Health Humans Artificial Intelligence
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