AI Tools for Mitigating Mental Health Challenges Arising from Climate Change

Abstract

The threat that climate change poses to human mental health is becoming more widely acknowledged, in addition to its effects on the environment and the economy.  Stress, anxiety, depression, post-traumatic stress disorder (PTSD), and cognitive impairments are among the direct and indirect psychological effects of extreme weather events such floods, heat waves, droughts, thunderstorms, extended downpour, and wildfires.  A disproportionate number of vulnerable groups are impacted, including children, the elderly, and people with pre-existing medical issues.  The research on the relationship between artificial intelligence (AI) interventions, mental health, and climate change is systematically reviewed in this work. 2,947 articles were first obtained from 11 scientific databases, including Scopus, Web of Science, PubMed, IEEE Xplore, ACM Digital Library, and others, using a PRISMA-driven method.  Nineteen papers were chosen for further examination after being vetted for language, relevance, duplication, and consistency with the study's goals.  The paper emphasizes how machine learning methods and artificial intelligence (AI) technologies can evaluate, forecast, and lessen the negative effects of climate-related events on mental health.  The results show that curated technical repositories and multidisciplinary platforms give a greater percentage of pertinent research, even while huge databases offer extensive coverage.  In light of climate change, the study highlights the potential of AI to enhance mental health therapies and points out areas that require more investigation.