AIMC Topic: Mental Disorders
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Improving Psychiatry Services with Artificial Intelligence: Opportunities and Challenges.
Turk psikiyatri dergisi = Turkish journal of psychiatry
Jan 1, 2024
Mental disorders are a critical global public health problem due to their increasing prevalence, rising costs, and significant economic burden. Despite efforts to increase the mental health workforce in Türkiye, there is a significant shortage of psy...
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Multimodal brain networks characterize complex connectivities among different brain regions from both structural and functional aspects and provide a new means for mental disease analysis. Recently, Graph Neural Networks (GNNs) have become a de facto...
Applications of Machine Learning to Improve Diagnosis, Advance Treatment, and Identify Causal Factors for Mental Disorders.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Jul 1, 2022
Focus on technology: surgical selfies, ransomware attacks, AI-assisted mental health care.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Jan 10, 2022
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...
Future perspectives of robot psychiatry: can communication robots assist psychiatric evaluation in the COVID-19 pandemic era?
Current opinion in psychiatry
May 1, 2021
PURPOSE OF REVIEW: Direct face-to-face interview between a psychiatrist and a patient is crucial in psychiatric evaluation, however, such traditional interviews are becoming difficult to conduct because of the infection risk in the COVID-19 era. As t...
Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.
Medical care
Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Humans
Algorithms
Risk Factors
Electronic Health Records
Self-Injurious Behavior
Cohort Studies
Hospitalization
Young Adult
Female
Supervised Machine Learning
Aged
Women
Reproducibility of Results
Patient Readmission
Adult
Middle Aged
Sensitivity and Specificity
Suicide, Attempted
Mental Disorders
Retrospective Studies
LEGAL AND PRACTICAL PROBLEMS OF USE OF ARTIFICIAL INTELLIGENCE-BASED ROBOTS IN FORENSIC PSYCHIATRY.
Wiadomosci lekarskie (Warsaw, Poland : 1960)
Jan 1, 2021
OBJECTIVE: The aim: This research aims to analyze the possibilities of using artificial intelligence-based robotics in forensic psychiatry to assess the public hazard of a mentally disabled or suffering from a mental illness to improve the legal fram...
[Patient-tailored approach in tertiary care expert centres using individual dynamic network analysis].
Tijdschrift voor psychiatrie
Jan 1, 2021
BACKGROUND: Patients with mental health disorders often have difficulty perceiving associations between multiple symptoms, such as inter-relations between somatic and psychological symptoms. This difficulty may be particularly challenging in patients...
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