A new tool for predicting survival rates of newly diagnosed cancer patients could be on the horizon, thanks to artificial intelligence.Preliminary research on the 'survival calculator' demonstrates a high prediction accuracy and may offer more personalized prognoses for newly diagnosed patients.Today, estimates for patient survival rates are primarily based on the stage of the person's cancer and its location.
After this initial phase, three-quarters of the collected data was used to train machine learning algorithms to recognize patterns between patients' five-year survival and their characteristics at diagnosis. The other 25 percent of the data was used to test their prediction model's accuracy in estimating patient survival.