Artificial Intelligence-generated Psychological Counseling for Cancer Patients

Background: Cancer patients often endure significant psychological challenges, including anxiety, depression, and stress, which substantially affect their quality of life. Traditional psychological support, though effective, is frequently under-integrated into oncology care, leading to unmet mental health needs. Objective: This comprehensive review explores the role of Artificial Intelligence (AI) in addressing these psychological challenges. Method: AI in psychological counseling: AI-driven tools, such as chatbots and virtual therapists, offer innovative solutions for providing personalized, continuous, and accessible mental health support. These tools can analyze patient data to tailor interventions, thereby improving mental health outcomes. Results: The review highlights various AI applications, including PINK! Coach, Woebot, and Ellipsis Health Voice Tool, and their effectiveness in reducing anxiety, depression, and psychosocial stress in cancer patients. Furthermore, studies indicate that AI interventions can achieve comparable results to traditional therapy, with additional benefits like increased accessibility and continuous monitoring. However, challenges such as data privacy, ethical concerns, and the need for high-quality training data remain. Conclusion: By examining current research and case studies, this review provides insights into integrating AI into oncology care, emphasizing its potential to enhance the mental health and quality of life of cancer patients. The findings underscore the importance of multidisciplinary approaches and the need for further research to optimize AI-driven psychological interventions in cancer care.

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Publication Details

Journal
Current Psychiatry Research and Reviews
Published
2025-02-21
DOI
https://doi.org/10.2174/0126660822338819250214064950
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-generated Psychological Counseling for Cancer Patients

Somisetty V. Satheesh, M. Naveenkumar, Sheik Mohamed M.I
Current Psychiatry Research and Reviews
Healthcare Systems and Public Health
article

Artificial Intelligence-generated Psychological Counseling for Cancer Patients

Somisetty V. Satheesh, M. Naveenkumar, Sheik Mohamed M.I
article en

Abstract

Background: Cancer patients often endure significant psychological challenges, including anxiety, depression, and stress, which substantially affect their quality of life. Traditional psychological support, though effective, is frequently under-integrated into oncology care, leading to unmet mental health needs. Objective: This comprehensive review explores the role of Artificial Intelligence (AI) in addressing these psychological challenges. Method: AI in psychological counseling: AI-driven tools, such as chatbots and virtual therapists, offer innovative solutions for providing personalized, continuous, and accessible mental health support. These tools can analyze patient data to tailor interventions, thereby improving mental health outcomes. Results: The review highlights various AI applications, including PINK! Coach, Woebot, and Ellipsis Health Voice Tool, and their effectiveness in reducing anxiety, depression, and psychosocial stress in cancer patients. Furthermore, studies indicate that AI interventions can achieve comparable results to traditional therapy, with additional benefits like increased accessibility and continuous monitoring. However, challenges such as data privacy, ethical concerns, and the need for high-quality training data remain. Conclusion: By examining current research and case studies, this review provides insights into integrating AI into oncology care, emphasizing its potential to enhance the mental health and quality of life of cancer patients. The findings underscore the importance of multidisciplinary approaches and the need for further research to optimize AI-driven psychological interventions in cancer care.

Current Psychiatry Research and ReviewsVol. 21
Tamil Nadu Dr. M.G.R. Medical University (IN)
Openalex Percentile: Top 78%
Healthcare Systems and Public Health
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