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Artificial intelligence in mental health is the application of artificial intelligence (AI), computational technologies and algorithms to supplement the understanding, diagnosis, and treatment of mental health disorders. [1] [2] [3] AI is becoming a ubiquitous force in everyday life which can be seen through frequent operation of models like ...
Of specific discomfort was the health care industry's increasing reliance on AI technology, with six in every 10 U.S. adults stating they're uncomfortable with the idea. And Americans were split ...
AI-based mental health companions offer an alternative for anyone who can’t afford the luxury of paying $500 a week for a one-hour session, or who is simply too worried about the stigma that is ...
Artificial intelligence can't replace human therapists, at least not yet. But optimists hope it can help fill in gaps that cause millions of Americans to go without any mental health treatment at all.
The joint ITU-WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) has built a platform - known as the ITU-WHO AI for Health Framework - for the testing and benchmarking of AI applications in health domain. As of November 2018, eight use cases are being benchmarked, including assessing breast cancer risk from histopathological ...
The use of electronic and communication technologies as a therapeutic aid to healthcare practices is commonly referred to as telemedicine [1] or eHealth. [2] [3] [4] The use of such technologies as a supplement to mainstream therapies for mental disorders is an emerging mental health treatment field which, it is argued, could improve the accessibility, effectiveness and affordability of mental ...
This was spurred largely by the 2008 Mental Health Parity and Addiction Equity Act, which requires health insurance plans to provide more equitable coverage for mental health care treatment. And ...
Marvin Minsky et al. raised the issue that AI can function as a form of surveillance, with the biases inherent in surveillance, suggesting HI (Humanistic Intelligence) as a way to create a more fair and balanced "human-in-the-loop" AI. [61] Explainable AI has been recently a new topic researched amongst the context of modern deep learning.
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