AI forecasts 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 relapse in second-stage colorectal cancer patients. This is one of the most common types of cancer, ranking as the fourth most diagnosed cancer worldwide and the second leading cause of cancer-related deaths in Australia. The tool relies on analyzing microscopic tissue images and textual descriptions to identify patients who are most at risk of recurrence. It was trained on more than 1,600 tissue slides and achieved accurate results when its assessments were compared with expert pathologists. The tool can assist doctors in identifying patients who require closer monitoring or additional treatments, such as chemotherapy, thereby improving treatment prognosis and reducing the risk of relapse.
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