AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Mental Health Services

Showing 51 to 60 of 68 articles

Clear Filters

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Administration and policy in mental health
This conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving ment...

The potential of socially assistive robots during infectious disease outbreaks.

Science robotics
Robots have a role in addressing the secondary impacts of infectious disease outbreaks by helping us sustain social distancing, monitoring and improving mental health, supporting education, and aiding in economic recovery.

Using de-identified electronic health records to research mental health supported housing services: A feasibility study.

PloS one
BACKGROUND: Mental health supported housing services are a key component in the rehabilitation of people with severe and complex needs. They are implemented widely in the UK and other deinstitutionalised countries but there have been few empirical st...

The Bot Will See You Now: A History and Review of Interactive Computerized Mental Health Programs.

The Psychiatric clinics of North America
The goal of automating complex human activities dates to antiquity. The mental health field has also made use of advances in technology to assist patients in need. Artificial Intelligence (AI) is the study of agents that receive percepts from the env...

Outcome measurement in mental health services: insights from symptom networks.

BMC psychiatry
BACKGROUND: In mental health, outcomes are currently measured by changes of individual scores. However, such an analysis on individual scores does not take into account the interaction between symptoms, which could yield crucial information while inv...

Randomized controlled trial of an online machine learning-driven risk assessment and intervention platform for increasing the use of crisis services.

Journal of consulting and clinical psychology
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technological innovations may improve our ability to reach underserved populations by overcoming many existing ...

Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.

Psychiatric services (Washington, D.C.)
An unprecedented amount of clinical information is now available via electronic health records (EHRs). These massive data sets have stimulated opportunities to adapt computational approaches to track and identify target areas for quality improvement ...

Considering patient safety in autonomous e-mental health systems - detecting risk situations and referring patients back to human care.

BMC medical informatics and decision making
BACKGROUND: Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to dete...