«A new algorithm improves upon current life-expectancy prediction tools and could lead to better-tailored patient care.»

«Among the most pressing matters cancer patients and oncologists must discuss is how serious the disease is and how long the patient can expect to live. These are tough conversations that affect not only how the patient is treated but also beget other sobering decisions. And for most of medical history, life-expectancy predictions have amounted largely to educated guesswork based on the physician’s knowledge and experience, abetted by simple statistical models based on prior patient histories.

Recently, however, a team of researchers at Stanford University says it has significantly improved the accuracy of these important predictions by turning to artificial intelligence. In a paper published in the Journal of the American Medical Informatics Association (JAMIA), they say their algorithm could lead to greater accuracy in cancer prognosis and, ultimately and most importantly, to better care for patients.»

Article written by Andrew Myers



Stanford University