Clinical Report: A Structured Chatbot Framework for Colorectal Cancer Screening
Background
Colorectal cancer (CRC) is a significant global health concern, being the third most common cancer and a leading cause of cancer mortality. Screening is crucial for early detection and prevention, yet uptake remains low due to various barriers.
Data Highlights
No numerical data or trial data presented in the article.
Key Findings
Colorectal cancer screening is essential for reducing incidence and mortality.
Low awareness and psychological barriers contribute to suboptimal screening uptake.
Large language models (LLMs) are being integrated into healthcare for patient education.
Evidence supporting the use of LLMs in structured CRC screening workflows is limited.
Community adherence to CRC screening varies widely, from 13% to 55%.
Clinical Implications
Further research is needed to evaluate the effectiveness of chatbot frameworks in clinical settings.
Conclusion
Continued exploration of LLM applications in healthcare is warranted.
Experts across Baptist Health Herbert Wertheim Cancer Institute and Eugene M. & Christine E. Lynn Cancer Institute will present new radiation oncology research and clinical expertise at the 2026 Annual Meeting of the American Society for Radiation Oncology (ASTRO), September 26-30, 2026, in Boston.
