NeurIPS 2019 Expo Panel
Bridging the Gap Between Effective Algorithms and Medical Adoption
Deep learning in healthcare presents unparalleled opportunities to serve humanity through streamlining medical workflows, predicting patient outcomes, and guiding treatment decisions. But unlike enterprise or consumer products, clinical AI solutions face enormous regulatory, ethical, and legislative challenges.
We will discuss the challenges of deploying healthcare algorithms with respect to existing privacy laws and redefining what constitutes medical data. Hear the perspective from industry, academia, and government healthcare experts as they examine integration of social determinants, genomics, and lifestyle habits into models. These new opportunities raise legitimate concerns about trust, adoption, and unanticipated consequences.