AI-Supported Psycho-Oncology Care for Breast Cancer: A Case Report on Digital Biomarkers and Post-Mastectomy Distress

Authors
DOI:
https://doi.org/10.61706/MECOJ160221
Keywords:
Artificial Intelligence, Breast Cancer, Digital Biomarkers, Mastectomy, Psycho-Oncology
Abstract

Psychosocial distress has been demonstrated to have a significant impact on the quality of life and treatment adherence of patients diagnosed with breast cancer. The integration of digital biomarkers with artificial intelligence (AI) has emerged as a novel approach for the timely detection and management of distress. This case report describes a 42-year-old female breast cancer patient who experienced severe psychosocial distress following the commencement of chemotherapy and subsequent mastectomy. The utilisation of artificial intelligence (AI)-driven digital biomarkers, derived from smartphone applications, in conjunction with the analysis of digital communications and virtual conversational assistance (e.g. ChatGPT), enabled clinicians to expeditiously identify early indications of distress and promptly implement bespoke psychosocial interventions. The early identification of psychological distress in patients receiving cancer treatment has been demonstrated to result in significant improvements in their psychological health, treatment adherence, and overall quality of life. This underscores the potential of artificial intelligence-supported psycho-oncology interventions. The study observed improvements in the following areas: increased regularity of sleep, increased physical activity levels, and normalised heart-rate variability patterns, as detected via Google Fit. These improvements were accompanied by reduced anxiety and improved emotional stability during the follow-up period.

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Published
2026-06-02
Data Availability Statement

The data that supports the findings of this study are available from the corresponding author upon reasonable request.

Issue
Vol. 2 No. 2 (2026): April - June (In Press)
Section
Case Report
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Copyright (c) 2026 Meriem Lameri, Yosr Trabelsi, Tarek Kamergi, Leila Achour, Linda Bouallegue, Chema Drira, Ikram Fazaa

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Lameri, M., Trabelsi, Y., Kamergi, T., Achour, L., Bouallegue, L., Drira, C., & Fazaa, I. (2026). AI-Supported Psycho-Oncology Care for Breast Cancer: A Case Report on Digital Biomarkers and Post-Mastectomy Distress. Middle Eastern Cancer and Oncology Journal, 2(2), 54-58. https://doi.org/10.61706/MECOJ160221

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