Abstract A070: Artificial intelligence applications in cancer care: Algorithmic bias impacts health equity

Abstract The most recent global trend shows a gradual and steady increase in artificial intelligence (AI)-related healthcare research over the years. There are notable spikes in activity around late 2021 and early 2022, followed by a decline and then another surge in mid-2023. This suggests fluctuating interest and investment in AI implementation in cancer healthcare research on a global scale. The overall upward trend in worldwide AI healthcare research reflects the growing recognition of AI's potential to revolutionize healthcare practices. Our Fischer's combined probability test results in a P-value of 0.000019. AI’s integration into cancer raises significant ethical concerns. Algorithmic biases could lead to disparities in care delivery, while inadequate data security measures might compromise patient privacy. Additionally, fears of job displacement necessitate proactive retraining programs to ensure that AI complements rather than replaces the workforce. Further research should focus on creating guidelines for ethical AI use, increasing training opportunities for healthcare professionals, and scaling AI technologies across diverse cancer healthcare settings with the acknowledgement of ethical considerations, human collaboration, & continued research and development. Citation Format: SDANISH KADIR, Noushad Javed. Artificial intelligence applications in cancer care: Algorithmic bias impacts health equity [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr A070.