AIMC Topic: Mental Health Services
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The potential of socially assistive robots during infectious disease outbreaks.
Science robotics
Jul 15, 2020
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.
A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions.
JAMA network open
Jul 1, 2020
IMPORTANCE: The mechanisms by which engagement with internet-delivered psychological interventions are associated with depression and anxiety symptoms are unclear.
Potential role of artificial intelligence to address the COVID-19 outbreak-related mental health issues in India.
Psychiatry research
Jun 1, 2020
Regional Variations in Documentation of Sexual Trauma Concepts in Electronic Medical Records in the United States Veterans Health Administration.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but are not systematically documented in electronic health records (EHR). To describe variations in how sexual trauma is documented in the Veterans Health ...
The Bot Will See You Now: A History and Review of Interactive Computerized Mental Health Programs.
The Psychiatric clinics of North America
Oct 1, 2019
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
Jun 28, 2019
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...
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
Mar 18, 2019
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...
Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.
Psychiatric services (Washington, D.C.)
Feb 20, 2019
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 ...
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
AMA journal of ethics
Feb 1, 2019
BACKGROUND: As machine learning becomes increasingly common in health care applications, concerns have been raised about bias in these systems' data, algorithms, and recommendations. Simply put, as health care improves for some, it might not improve ...
Apps, Avatars, and Robots: The Future of Mental Healthcare.
Issues in mental health nursing
Jan 3, 2019
From artificial intelligence, predictive analytics and biometric sensors, to advanced robotics, virtual reality and mobile applications, rapid advances in technology are transforming the design, delivery and experience of mental healthcare. This pape...
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