Guangzhou — On Wednesday (April 2), South China University of Technology in Guangdong Province, southern China, announced that a research team has used artificial intelligence (AI) technology to reduce unnecessary surgeries in colorectal cancer patients following localized tumor resection.

The research team developed and validated an AI-powered prediction model to assess the risk of colorectal cancer recurrence after local resection. The model uses pathological images of T1 stage rectal cancer tissue that was removed through endoscopic surgery or transanal excision.

Colorectal cancer is the third most common cancer globally, accounting for about 10% of all cancer cases. Early-stage patients are typically treated with local resection. However, some high-risk patients require additional surgery to prevent tumor recurrence, which increases physical burden and significantly affects quality of life.

Researchers from the university and Guangdong Provincial People's Hospital developed an artificial neural network model to assess the risk of tumor recurrence in T1 stage rectal cancer patients. This model can help doctors and patients make more accurate post-surgery treatment decisions.

The AI prediction model reduced unnecessary additional surgeries by approximately 34.9% compared to current U.S. treatment guidelines. This helps physicians make better-informed decisions and highlights the impressive effectiveness and potential of AI in using histopathological images to predict tumor outcomes.

This study was published in the European Journal of Surgical Oncology.

 

Source:

WorldViewThaiNews

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