AIMC Topic: Mental Health Services

Clear Filters Showing 71 to 80 of 97 articles

Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

Journal of biomedical informatics
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic psychiatry settings. A potential alternate or supplementary means of risk prediction is from the automated analysis of case notes in Electronic Health...

Integrating socially assistive robotics into mental healthcare interventions: applications and recommendations for expanded use.

Clinical psychology review
As a field, mental healthcare is faced with major challenges as it attempts to close the huge gap between those who need services and those who receive services. In recent decades, technological advances have provided exciting new resources in this b...

Mental Health Professionals' Perspectives on Digital Remote Monitoring in Services for People with Psychosis.

Schizophrenia bulletin
BACKGROUND AND HYPOTHESIS: Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared...

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

Computer methods and programs in biomedicine
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseling services, creating pressure on existing mental health professionals. Large language models (LLM), like ChatGPT, are considered a novel solution for...

Addressing Workforce and Ethical Gaps in AI-Driven Mental Health Care: A Response to Higgins and Wilson.

International journal of mental health nursing
Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for mental health (MH) care, offering opportunities to reduce clinician workload, improve diagnostic accuracy, and enhance patient monitoring. However, rec...

[Health Equity in Mental Health Care: Challenges for Nurses and Related Preparation].

Hu li za zhi The journal of nursing
Individuals with mental illness face significant challenges in achieving health equity due to social and structural determinants, fragmented healthcare systems, social stigmas, and disparities in digital health access. As advocates for individuals wi...

[AI in mental healthcare: hope or hype?].

Nederlands tijdschrift voor geneeskunde
Artificial Intelligence (AI) holds promise for addressing significant challenges in mental healthcare, such as workforce shortages, waiting lists, and the need for personalized diagnostics and treatments. However, current high expectations contrast w...

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Studies in health technology and informatics
Advances in Artificial Intelligence (AI) and other technologies together with increasing economic and care pressures have popularized the use and development of digital health solutions and interventions, in particular in mental health. Associated wi...

What Is in There for Artificial Intelligence to Support Mental Health Care for Persons with Serious Mental Illness? Opportunities and Challenges.

Studies in health technology and informatics
Artificial intelligence (AI) holds potential to support persons with serious mental illness, but evidence remains limited. To explore opportunities and challenges there, we conducted qualitative interviews with multiple Norwegian mental health stakeh...