8.30 – 9.30 THOMAS FUCHS - Clinical-grade Artificial Intelligence: Hype or Hope for Cancer Care

Artificial Intelligence is revolutionizing healthcare and will fundamentally transform how cancer patients are diagnosed and treated. One of the disciplines most impacted is pathology which is in the midst of evolving from a qualitative to a quantitative science. This transformation is driven by machine learning in general and computer vision and deep learning in particular. In this talk we will analyze what it takes to build a clinical-grade artificial intelligence, how deep learning at petabyte-scale enables new ways of cancer diagnosis and how these systems impact clinical practice and the work of medical doctors. We will try to separate the vast potential of machine learning in healthcare from the current hype and address crucial issues of ethics and patient privacy. Finally, we will take a look into the future to medicine and how artificial intelligence can impact and hopefully improve cancer care for patients.

CV

Prof. Dr. Thomas J. Fuchs is leading the Medical Machine Learning and Computational Pathology group at the Memorial Sloan Kettering Cancer Center. He is Associate Professor for Machine Learning at Weill-Cornell University, and director of the Warren Alpert Center for Digital and Computational Pathology in New York City.

Dr. Fuchs completed his MS (Dipl.Ing.) in Technical Mathematics from the Technical University Graz, Austria, and earned a Dr.Sc. in Machine Learning from ETH Zurich including a PhD program on System Biology and Medicine from ETH’s CCSPMD in Switzerland. After his postdoctoral studies at the California Institute of Technology’s Department of Electrical Engineering and Computation and Neural Systems, he joined NASA as a research technologist in the Engineering and Science Division of NASA’s Jet Propulsion Laboratory in Pasadena, California.