Previously submitted to: JMIR Human Factors (no longer under consideration since Dec 22, 2023)
Date Submitted: Oct 7, 2023
Open Peer Review Period: Oct 7, 2023 - Dec 2, 2023
(closed for review but you can still tweet)
NOTE: This is an unreviewed Preprint
Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).
Peer review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.
Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).
Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.
Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.
Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Metamorphosing Mental Health Care: Unshackling the Untapped Potential of Artificial Intelligence for Profound Transformation
ABSTRACT
Rising incidence of psychological health difficulties in the US has spurred a surge in interest in creative solutions to deal with these challenging problems. This essay explores how artificial intelligence (AI) has fundamentally changed the approach that mental health services are provided. This research investigates the uses, advantages, difficulties, and potential futures of using AI into mental health therapies with a focus on ethical issues and social repercussions. The article explains how AI-driven solutions are revolutionising the provision of mental health treatment by providing data-driven insights and tailored therapies. AI-enabled chatbots and virtual assistants become reliable sources of assistance, providing easily accessible direction to people in need. Furthermore, by recognising possible mental health issues from social media data, AI's capacity to analyse online behaviour patterns aids in early identification and intervention. But when AI is more thoroughly incorporated into mental health services, serious ethical questions are raised. In-depth discussions of patient privacy, data security, transparency, and potential biases are covered in this study as it explores the ethical implications of AI's use. A crucial factor is finding a balance between utilising AI's capabilities and making sure that ethical monitoring is maintained. Personalised, effective, and easily accessible mental health therapies are on the verge of becoming a reality by using artificial intelligence's analytical capability and accessibility. The study emphasises the need of building a collaborative environment that navigates these breakthroughs ethically, protecting patient well-being while maximising the promise of AI-guided psychological health management. AI is still undergoing rapid development
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.