In partnership with Massachusetts Institute of Technology MIT Critical Data ACC and Philips we are

Events
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In partnership with Massachusetts Institute of Technology (MIT) Critical Data, ACC, and Philips, we are excited to announce that registrations for NZ’s first Artificial Intelligence in Healthcare Conference, Hack Aotearoa, are now open!

The conference is to be held Friday 18th and Saturday 19th January 2019, at the Owen G Glenn Building, Auckland University.

We are excited to have world-renowned experts speaking on Artificial Intelligence in Health, including Professor Eric Topol (Scripps Institute/University of Auckland), Dr Leo Celi (MIT), and Professor Mihaela Van Der Schaar (Turing Institute).

Conference participants will have the opportunity to learn methods for artificial intelligence, including machine learning, natural language processing and image recognition, using electronic health data.

The full programme can be found here.

This is likely to be a sell out event, and so we encourage you to register now to avoid missing out!

If you have any queries regarding HACK AOTEAROA please do not hesitate to contact us.

Ngā mihi,

The Hack Aotearoa Organising Committee & Precision Driven Health

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Here today - attached is the programme. Speaking briefly tomorrow on Social License. Key point is that we should be working to build trust in how we use data, not just using it, hoping that tangata whenua and the public think it is ok.
uploadedfile:167284440, uploadedfile:167284401

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@Jean_Fleming Here it is.

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Have been thinking a lot about the conversation Eric Topol started around the use of AI in health. He talked about the accuracy of diagnosis of Machine Vision with retinography (sp?).

He mentioned also that the algorithm could 9 times out of 10 identify whether the retina is from a male or female, which humans can’t. He made the joke at the time that he wasn’t sure what it could be used for, and I laughed along with the room about the stupid computer.

We are thinking hard about consent and transparency in our Data Strategy - one of the key reasons for this is to make sure as we use more technology we ensure that we build social license and don’t put it at risk. The connection to the above is, if algorithms can find patterns we can’t - can we actually anonymise data?