Brian Anthony
Principal Investigator Rutledge Ellis-Behnke
Robert Macfarlane
Breast cancer is global problem with over 500,000 women dying from the disease every year, yet all of our decisions and insights are based on only a fraction of the information that exists at both the patient and population level. In this talk, we explore a machine learning approach to cancer that integrates rich patient information at population scale, and discuss the type of tools this enables. We have developed A.I systems for automatically reading mammograms, performing personalized risk assessment and mining medical records and implemented them clinically at Massachusetts General Hospital.
Canan Dagdeviren LG Career Development Professor of Media Arts and Sciences, MIT Media Lab
Principal Investigator Charles Leiserson