Mount Sinai applies algorithms, AI to classify disease


Mount Sinai medical school’s new Center for Computational and Systems Pathology will combine advanced technology, computer science and mathematical techniques with artificial intelligence to more precisely classify and treat disease.

The center is designed to be a hub for developing new diagnostic, predictive and prognostic tests and determining which patients will be best served by them, according to an announcement.

It will partner with Mount Sinai’s “Precise Medical Diagnostics” (Precise MD) initiative, which is developing new approaches to characterize an individual's cancer by combining data from multiple sources and analyzing it using mathematical algorithms.

“Our goal is to provide a precise mathematical approach to classifying and treating disease, which will assist our clinicians with information for effective patient care and health management,” says Carlos Cordon-Cardo, M.D., Ph.D., chair of the pathology department, who will oversee the new center. “By refining diagnoses, we can save patients from unnecessary treatments.”

This summer Precise MD will complete an initial phase to determine which patients who have had prostatectomies need further treatment. In 2017, it will work on adding computer vision and machine learning tools to better characterize breast cancer.

Mount Sinai Health System has been working with electronic health records data for more than 15 years, increasing use of analytics as it delves more deeply into accountable care and population health initiatives.

Its researchers previously announced an algorithm to better understand why different drugs have certain side effects based on analysis of 1 million patient medical records.

To learn more:
- read the announcement