AI model predicts which rectal cancer patients face highest recurrence risk
NCT ID NCT07351708
Summary
This study created a computer model to predict which rectal cancer patients are most likely to have their cancer return locally after treatment. Researchers analyzed data from 2,315 patients who received chemotherapy/radiation before surgery to identify patterns that signal higher recurrence risk. The goal is to help doctors identify high-risk patients earlier so they can receive more personalized follow-up care.
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