Advances in AI, multi-omic profiling, and imaging technologies significantly improve personalized medicine in gastrointestinal surgical oncology. These innovations lead to better patient stratification and tailored therapies, enhancing clinical outcomes. However, challenges such as data integration, patient privacy, and predictive model validation remain. To overcome these issues, researchers emphasize the need for standardized data interoperability and advanced security methods, alongside promoting transparency through explainable AI to build trust among clinicians and patients.
Review by Kim DH in J Pers Med