Ideas in this flowchart

• AI in cancer care offers major benefits but also raises equity and trust challenges.
• AI may improve diagnosis, personalized treatment, and access to cancer care.
• AI may inadvertently worsen disparities among cancer patients.
• Diverse populations are underrepresented in AI training datasets.
• Unequal access to AI tools particularly affects low-income and rural areas.
• These factors may exacerbate existing health disparities.
• The disparity concern is documented by Dankwa-Mullan et al. (2025).
• Building public confidence in AI requires coordinated actions.
• Clear communication about AI is necessary.
• Robust data governance is necessary.
• Active engagement with all stakeholders is necessary.
• The future of AI in cancer care depends on technological innovation and collective action.
• AI tools must be transparent.
• AI tools must be equitable.
• AI tools must be trusted by the people who use them.