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AI estimates relapse risk in common cancer
Researchers from La Trobe University in Australia have developed an artificial intelligence tool called "SÉMIL" that helps predict the risk of recurrence of stage II colorectal cancer. The algorithm relies on analyzing images and writings of microscopic tissue slides. The study, published in the journal "Gastroenterology," achieved accurate results when its assessments matched those of pathology experts, enabling it to more precisely identify patients at higher risk of recurrence. This innovation assists doctors in pinpointing patients who need closer monitoring or additional treatment, thereby enhancing early intervention chances and reducing the risk of death.
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