Public Confidence

"While AI holds great promise for improving diagnosis, personalized treatment, and increasing access to care for cancer patients, it may inadvertently worsen disparities. For example, underrepresentation of diverse populations in AI training datasets and unequal access to AI tools, particularly in low-income and rural areas, may exacerbate existing health disparities (1066)Dankwa-Mullan I, et al. (2025) Curr Oncol Rep, 27: 95.. Building public confidence in AI will require clear communication, robust data governance, and active engagement with all stakeholders. The future of AI in cancer care will depend on both technological innovation and collective action to ensure these tools are transparent, equitable, and trusted by those that will use them."