Screening Depression and Mental Distress by Using AI-Powered Tools Among Women with Breast Cancer: A Review

Abstract

Breast cancer (BC) is the most common cancer diagnosed in women across the world. Surviving and coping with cancer is often extremely stressful   for both patients and their families. The purpose of this review is to appraise artificial intelligence-related recent advances that can be employed for early screening and diagnosis of depression and other mental health problems among women with breast cancer.  Depression, anxiety post-traumatic stress disorder amongst breast cancer patients along with other mental health issues is often misdiagnosed and undertreated. Screening of depression is often challenging in breast cancer women due to time restraints and less trained staff for using traditional tools for its assessment. Review is supportive of the fact that Artificial intelligence empowered tools are proving themselves to be more effective and efficient psychotherapeutic approach. They require less time and utilize patient and health provider related data for timely screening and diagnosis of mental health issues.