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AI Improvement Boosts Cancer Detection
A team of researchers developed a new method based on training artificial intelligence to mimic the behavior of doctors when examining tissue slides, aiming to improve its accuracy in detecting cancer. The "Pathology-o3" system begins by scanning the slide at a low resolution, then identifies areas that require more detailed examination, which are subsequently analyzed at a high resolution. Test results demonstrated that the system was able to identify all colon and rectal cancer slides with 100% accuracy, with a false-positive rate of 15.5%. This performance surpasses that of the "o3" model, which achieved 87.5% accuracy. The study emphasizes that the goal is to use AI as an assistant to doctors, guiding them to important regions rather than relying on it as an independent diagnostic tool. Further experiments are needed to evaluate its effectiveness across diverse environments.
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