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Machine Learning in Healthcare

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Ticket registration: http://cambridge.inno-forum.org/event/machine-learning-healthcare/

Across the broad range of ambitions to implement artificial intelligence (AI) in different industries, applications of machine learning in healthcare are amongst the top of the list for funding and press attention in the last several years.

Machine learning offers many opportunities for the healthcare industry, such as disease identification and diagnosis, crowdsourcing treatment options, monitoring drug response and health epidemics. More and more healthcare and technology innovators are collaborating to change our current reality by experimenting with AI and machine learning. Not only have major players jumped into their own AI healthcare projects, several start-ups and smaller organizations have also begun their own efforts to create tools to aid healthcare.

Join us for an evening of talks from world-leading players in machine learning for healthcare, followed by a panel discussion to discuss focal and controversial topics about the applications of machine learning. Topics addressed by the panel will include: 1) safe patient data storage; 2) standards and metrics used to address AI performance; 3) job security; 4) regulations that address machine-based misdiagnosis.

And of course, the evening will end with a networking session as always. Food and drinks are provided during the networking session.

Confirmed Speakers:
  • Antonio Criminisi: Principal Researcher, Microsoft Research
  • Peyman Gifani: Founder and CEO , AI VIVO

This talk is part of the Innovation Forum series.

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