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AI in mental health is still an emerging field and there are still some concerns and criticisms about the use of AI in this area, such as: Lack of data: There is a lack of data available to train AI systems, which limits their ability to accurately identify patterns in mental health conditions and predict outcomes. [23]
With AI handling the work of mental health screenings and analyzing data, it frees up time for clinicians to work more immediately, and accurately, with patients. AI may be especially useful for ...
Jimini Health combines talk therapy with 24/7 support from an AI assistant. The mental health startup secured $8 million in funding in November. Jimini says it's taking a slow, evidence-based ...
Chatbots are free, available 24/7 and don’t come with the stigma of therapy, but limited data show that they actually […] The post AI chatbots are here to help with your mental health, despite ...
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.
Trustworthy AI is also a work programme of the International Telecommunication Union, an agency of the United Nations, initiated under its AI for Good programme. [2] Its origin lies with the ITU-WHO Focus Group on Artificial Intelligence for Health, where strong need for privacy at the same time as the need for analytics, created a demand for a standard in these technologies.
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 ...
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related to: explainable ai in mental healthinsighthealth.ai has been visited by 10K+ users in the past month