Researchers at the South China University of Technology have developed an AI-powered prediction model aimed at reducing unnecessary surgical resections for colorectal cancer patients following local excisions. The research team utilized the model to assess the risk of recurrence after local excision of stage T1 rectal cancer:owered prediction model aimed at reducing unnecessary surgical resections for colorectal cancer patients following local excisions. The research team utilized the model to assess the risk of recurrence after local excision of stage T1 rectal cancer, using pathological images of surgically removed samples. According to Qatar News Agency, local excision remains the primary treatment for colorectal cancer, the third most common cancer worldwide, accounting for approximately 10 percent of all cancer cases globally. The AI-based prediction model has reduced the need for additional unnecessary surgeries by about 34.9 percent among registered patients, compared to current US guidelines. The re searchers stated that the model not only aids doctors in decision-making but also demonstrates the capabilities of AI-driven pathology imaging in predicting tumor behavior.