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2017 GTC San Jose

S7743 - MD.ai: Building, Training, and Deploying AI in Medicine

Session Speakers
Session Description

Medical AI is rapidly becoming a reality. Building, training, and deploying AI within healthcare requires tackling unique challenges. Steps include acquiring and curating clinically relevant datasets, performing high-quality annotations, training on huge multislice datasets, and deploying into a complex HIPAA-centric IT infrastructure. We'll describe our approach for a cloud-based pipeline from data ingestion to trained model deployment. We'll describe a deployment strategy where trained deep learning models are run entirely in a browser within the bounds of a hospital's network. This can be done using our open-source library, Keras.js (supporting Keras with Tensorflow/Theano backends). Inference times on real-world networks are made practical through GPU acceleration using WebGL.


Additional Session Information
All
Talk
AI in Healthcare Summit AI Startup Deep Learning and AI Healthcare and Life Sciences Medical Imaging
Cloud Services Healthcare & Life Sciences
25 minutes
Session Schedule