According to a study recently released by University College London in the UK, artificial intelligence can analyze biopsy images of tumors at the time of diagnosis to efficiently identify locally advanced rectal cancer patients who are more likely to benefit from intensive chemoradiotherapy, providing a reference for formulating personalized treatment plans. Researchers say that compared to artificial analysis, artificial intelligence can help them reveal differences in the response of patients with different tumor biological characteristics to treatment in a short period of time. It is expected to help doctors determine which patients are suitable for stronger treatment plans before treatment begins, while preventing other patients from experiencing additional side effects. The research results have been published in the medical journal “E Biomedical”. At the same time, the researchers emphasized that independent verification and more clinical research are still needed before relevant artificial intelligence tools are used in clinical decision-making and this combination therapy is widely used.

According to a study recently released by University College London in the UK, artificial intelligence can analyze biopsy images of tumors at the time of diagnosis to efficiently identify locally advanced rectal cancer patients who are more likely to benefit from intensive chemoradiotherapy, providing a reference for formulating personalized treatment plans. Researchers say that compared to artificial analysis, artificial intelligence can help them reveal differences in the response of patients with different tumor biological characteristics to treatment in a short period of time. It is expected to help doctors determine which patients are suitable for stronger treatment plans before treatment begins, while preventing other patients from experiencing additional side effects. The research results have been published in the medical journal “E Biomedical”. At the same time, the researchers emphasized that independent verification and more clinical research are still needed before relevant artificial intelligence tools are used in clinical decision-making and this combination therapy is widely used.