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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 ...
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 ...
Additionally, the prevalence of mental health and addiction disorders exhibits a nearly equal distribution across genders, emphasizing the widespread nature of the issue. [9] The use of AI in mental health aims to support responsive and sustainable interventions against the global challenge posed by mental health disorders.
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.
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.
A 2017 study found that the ACA reduced socioeconomic disparities in health care access. [206] The Affordable Care Act reduced the percent of Americans between 18 and 64 who were uninsured from 22.3 percent in 2010 to 12.4 percent in 2016. About 21 million more people have coverage ten years after the enactment of the ACA.
Private health exchanges predate the Affordable Care Act. One example of an early health care exchange is International Medical Exchange (IMX), a company venture financed in Louisville, Kentucky, by Standard Telephones and Cables, a large British technology company (now Nortel), to develop the exchange concept in the U.S. using on-line ...
Artificial intelligence utilises massive amounts of data to help with predicting illness, prevention, and diagnosis, as well as patient monitoring. In obstetrics, artificial intelligence is utilized in magnetic resonance imaging, ultrasound, and foetal cardiotocography. AI contributes in the resolution of a variety of obstetrical diagnostic issues.