BrainAI

AI Predicts Cancer Patient Survival by Reading Doctor’s

A team of researchers from the University of British Columbia and BC Cancer have developed an artificial intelligence (AI) model that predicts cancer patient survival more accurately and with more readily available data than previous tools.
The model uses natural language processing (NLP)—a branch of AI that understands complex human language—to analyze oncologist notes following a patient’s initial consultation visit—the first step in the cancer journey after diagnosis.
By identifying characteristics unique to each patient, the model was shown to predict six-month, 36-month and 60-month survival with greater than 80 percent accuracy.
The findings were published today in JAMA Network Open.
“Predicting cancer survival is an important factor that can be used to improve cancer care,” said lead author Dr. John-Jose Nunez, a psychiatrist and clinical research fellow with the UBC Mood Disorders Centre and BC Cancer.
“It might suggest health providers make an earlier referral to support services or offer a more aggressive treatment option upfront. Our hope is that a tool like this could be used to personalize and optimize the care a patient receives right away, giving them the best outcome possible.”

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