Deep Learning at the Front Lines of Healthcare

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Today’s healthcare system was not built for a seamless integration of rapidly emerging technologies, such as machine learning innovations. Health data is largely inaccessible and not standardized, making it challenging to work with in machine learning systems. On top of this, deep learning techniques aren’t well suited for many healthcare problems due to the difficulty in interpreting their decisions. 

At the Deep Learning Summit in San Francisco last month, Will Jack, CEO of Remedy Health, explored this facet of artificial intelligence with his presentation 'Bringing Deep Learning to the Front Lines of Healthcare'. Watch Will's presentation below to learn more about the difficulties of integration and deployment, and how interpretable models can better tackle tasks such as diagnosis, physician education and treatment planning.

View more video presentations and interviews on the RE•WORK video hub.

Join us at the Deep Learning in Healthcare Summit, in London on 28 Feb - 1 March, to learn more about the impact of artificial intelligence in the health sector. Tickets are now limited, register your place here.

Confirmed speakers at the summit include Neil Lawrence, Senior Principal Scientist at Amazon, Professor at Uni of Sheffield; Ali Parsa, CEO of Babylon Health; Polina Mamoshina, Research Scientist at Insilico Medicine; Oladimeji Farri, Senior Research Scientist at Philips Research, Anastasia Georgievskaya, Research Scientist at Beauty.AI, and more.

See the full events list here for summits and dinners focused on AI, Deep Learning and Machine Intelligence taking place in San Francisco, London, Amsterdam, San Francisco, Boston, New York, Singapore, Hong Kong, and Montreal!

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Deep Learning Diagnostics Healthcare A I MedTech Deep Learning Summit Deep Learning in Healthcare Summit

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