A Scoping Review On The Feasibility And Acceptability Of Artificial Intelligence And Machine Learning Applications In Health Care For Anxiety-related Disorders - Info and Reading Options
By Lu Yang, Yousong Su, Haonan Zhang and Jun Chen
“A Scoping Review On The Feasibility And Acceptability Of Artificial Intelligence And Machine Learning Applications In Health Care For Anxiety-related Disorders” Metadata:
- Title: ➤ A Scoping Review On The Feasibility And Acceptability Of Artificial Intelligence And Machine Learning Applications In Health Care For Anxiety-related Disorders
- Authors: Lu YangYousong SuHaonan ZhangJun Chen
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- Internet Archive ID: osf-registrations-vtprs-v1
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The Internet Archive:
Assessing the feasibility and acceptability of the AI and machine learning in this area can help to understand the opportunities and possible barriers for the implementation and further provide evidence to support the real-world practice. To our knowledge, no study has reviewed and synthesized the current evidence on this topic. Therefore, this scoping review aims to systematically locate and review literature on the feasibility and acceptability of AI and machine learning applications in health care for anxiety-related disorders. This will enable the identification of research gaps in this topic and then contribute to improving future research and supporting evidence-based real-world practice of AI and machine learning in mental health care.
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- Added Date: 2024-07-07 11:09:26
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