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| A Systematic Literature Review of the use of Artificial Intelligence (AI) or Mobile Applications for Depression Therapy |
Leslie A. Bridgman, BS and Bruce Lazar, MBA, DM
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Abstract:
Depression is a disease that affects one in five people across the globe, including approximately 16 million people in the United States alone. Technology advances have in the last decade, have created significant opportunities for artificial intelligence (AI) and mobile applications to improve the delivery of mental health care. This systematic literature review aimed to determine if the use of artificial intelligence (AI) or mobile applications for depression therapy will improve patient outcomes and prove to be effective. A search was conducted using the PubMed/Medline and CINAHL academic databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data from 20 relevant articles were meticulously analyzed using screening criteria that revolved around our research question. The authors identified five themes during this process. The themes included the acceptability or feasibility of using AI or apps, the effectiveness or efficacy of self-guided therapy apps or AI, engagement or adherence to using the AI or apps results in better outcomes, positive impacts on depression symptoms and the use of AI or apps as a therapy aide. The findings and results indicate that the use of mobile apps or other advanced technology (AI) is poised to change the face of psychological assessment and intervention. The findings of this study imply that AI technologies for mental health are effective and innovative and will continue to improve quality and access to health care.
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