Cloud and AI as drivers of technology innovation in the healthcare industry
Electronic health records, medical imaging, genomics are examples of healthcare data sources which can be processed to drive clinical and operational decisions on individual and population levels. However, in a world where data is growing at unprecedented rates, a new strategy and a new set of tools is required to capture the promises of Big Data in the healthcare space.
Cloud computing is rapidly changing the way that healthcare data is handled and creating novel opportunities to leverage large scale data aggregation to train machine learning models which enable operational efficiency and diagnostic assistance tools.
Google has been pushing the boundary of research in the machine learning space. In this talk, Arie Meir, PhD, a product manager with Google Cloud team will present his team’s strategy and perspective on data management, analytics and machine learning with specific focus on medical imaging. Arie will share his observations on some of the challenges seen in the space as well as the opportunities for innovation that these challenges introduce.
Join this talk to hear about the role of artificial intelligence in the future of radiology, find out the truth about big (dirty) data and what does it take to really de-identify healthcare data. Questions from the audience are encouraged and appreciated.