Abstract
The digital revolution has made integrating artificial intelligence (AI) into the medical sector easier. AI is currently being used to speed up the detection of diseases in their early stages, facilitate the delineation and understanding of disease variations, and improve optimised treatment protocols. Psychology is no exception, as new role players have emerged, most notably the incorporation of AI into both psychological research and clinical practice. However, there is an apparent unease with AI as a technological breakthrough advancing science in mental health, such as data privacy, national guidelines on the use of AI, successful integration of users into the clinical setting and empathy, compared to human psychologists. Regardless, AI functions in psychology are gradually snowballing. We present an opinion on the impact of AI on improving mental health based on the exploration of available published evidence. We highlight the potential of AI in improving mental health care through mental health disorder detection, diagnosis, treatment, and public health education. The article also discusses the potential challenges and future directions, highlighting the importance of interdisciplinary collaboration and developing novel AI-based approaches to improve mental health outcomes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
