S564 Power of Artificial Intelligence in Addressing Disparities and Enhancing Colorectal Cancer Screening: A Narrative Review

Introduction: Colorectal cancer (CRC) is third most common cancer and is a leading cause of deaths in the U.S. Colonoscopy, is by far, the most ideal test in reducing CRC incidence and mortality. Despite its effectiveness and spending $3.2 billion/year in outpatient colonoscopies, disparities in screening uptake and follow-up care persist among racial and ethnic minorities. Artificial intelligence (AI) in adenoma detection has already known to have made a mark in enhancing colonoscopy effectiveness and decreasing pathologies testing costs. We will discuss role of AI in bridging the gaps in CRC screening. Methods: PubMed was searched for available data and latest guidelines. Costs associated with Colonoscopy, Cologuard and fecal immunochemical test (FIT) test was determined. CRC screening rates via all modalities available in various minority groups were noted. CRC incidence rate in all minorities were noted through available metanalysis. Role of AI is determined in order to enhance the CRC screening rates and thereby promoting health equity. Results: Screening rates are generally lower among Black, Hispanic, and Asian populations compared to White populations, though some recent data suggest improvements in certain settings. Mortality rates remain highest among Black and American Indian/Alaska Native (AI/AN) populations, with socioeconomic status and access to care being major contributors to these disparities. Conclusion: “Your zip code is more important than your DNA”. The American College of Physicians, American College of Gastroenterology, and United States Preventative Services Task Force all emphasize the need for targeted interventions to improve screening and outcomes in high-risk groups. AI along with geographical population subsets, can detect the trends in the community and hence, extrapolating the minority and underrepresented populations, can help in equitable screening. AI can thereby bridge the gap and enhance health equity. AI can help us save 5 billion $ in healthcare expenses from CRC prevention in minority groups.