AIMC Topic: Mental Disorders

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Integrative diagnosis of psychiatric conditions using ChatGPT and fMRI data.

BMC psychiatry
BACKGROUND: Traditional diagnostic methods for psychiatric disorders often rely on subjective assessments, leading to inconsistent diagnoses. Integrating advanced natural language processing (NLP) techniques with neuroimaging data may improve diagnos...

Predicting mental health disparities using machine learning for African Americans in Southeastern Virginia.

Scientific reports
This study examined mental health disparities among African Americans using AI and machine learning for outcome prediction. Analyzing data from African American adults (18-85) in Southeastern Virginia (2016-2020), we found Mood Affective Disorders we...

The application of artificial intelligence in the field of mental health: a systematic review.

BMC psychiatry
INTRODUCTION: The integration of artificial intelligence in mental health care represents a transformative shift in the identification, treatment, and management of mental disorders. This systematic review explores the diverse applications of artific...

Apriori algorithm based prediction of students' mental health risks in the context of artificial intelligence.

Frontiers in public health
INTRODUCTION: The increasing prevalence of mental health challenges among college students necessitates innovative approaches to early identification and intervention. This study investigates the application of artificial intelligence (AI) techniques...

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study.

JMIR mental health
BACKGROUND: As artificial intelligence (AI) tools are integrated more widely in psychiatric medicine, it is important to consider the impact these tools will have on clinical practice.

Does the Digital Therapeutic Alliance Exist? Integrative Review.

JMIR mental health
BACKGROUND: Mental health disorders significantly impact global populations, prompting the rise of digital mental health interventions, such as artificial intelligence (AI)-powered chatbots, to address gaps in access to care. This review explores the...

Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities.

Journal of medical Internet research
BACKGROUND: Early maladaptive schemas (EMSs) are pervasive, self-defeating patterns of thoughts and emotions underlying most mental health problems and are central in schema therapy. However, the characteristics of EMSs vary across demographics, and ...

Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications.

Psychological medicine
Artificial intelligence (AI) has been recently applied to different mental health illnesses and healthcare domains. This systematic review presents the application of AI in mental health in the domains of diagnosis, monitoring, and intervention. A da...

Interventions to improve medication adherence in persons with mental disorders.

Current opinion in psychiatry
PURPOSE OF REVIEW: Nonadherence to medication is prevalent in patients with mental illness. Various factors responsible for it. As a result, there are more hospitalizations, increased risk of suicide and increased cost of care. Thus, there is a need ...

The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.

Journal of medical Internet research
BACKGROUND: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide su...