Artificial intelligence for improved prediction of microsatellite instability in colorectal cancer with a focus on multi-omic data integration: A systematic review

This work offers a comprehensive review of artificial intelligence approaches for predicting microsatellite instability in colorectal cancer, examining both molecular and imaging-based methods. It contrasts their strengths, limitations, and readiness for clinical use, highlights gaps such as geographic bias and lack of prospective validation, and outlines strategies for developing hybrid models and improving global collaboration.