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SUMMARY:Machine Learning in Healthcare - Antonio Criminisi (Microsoft Rese
 arch)\, Peyman Gifani (AI VIVO)
DTSTART:20180423T170000Z
DTEND:20180423T200000Z
UID:TALK102556@talks.cam.ac.uk
CONTACT:Innovation Forum Cambridge
DESCRIPTION:Ticket registration: http://cambridge.inno-forum.org/event/mac
 hine-learning-healthcare/\n\nAcross the broad range of ambitions to implem
 ent artificial intelligence (AI) in different industries\, applications of
  machine learning in healthcare are amongst the top of the list for fundin
 g and press attention in the last several years.\n\nMachine learning offer
 s many opportunities for the healthcare industry\, such as disease identif
 ication and diagnosis\, crowdsourcing treatment options\, monitoring drug 
 response and health epidemics. More and more healthcare and technology inn
 ovators are collaborating to change our current reality by experimenting w
 ith 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.\n\nJo
 in us for an evening of talks from world-leading players in machine learni
 ng for healthcare\, followed by a panel discussion to discuss focal and co
 ntroversial topics about the applications of machine learning. Topics addr
 essed by the panel will include:\n1) safe patient data storage\;\n2) stand
 ards and metrics used to address AI performance\;\n3) job security\;\n4) r
 egulations that address machine-based misdiagnosis.\n\nAnd of course\, the
  evening will end with a networking session as always. Food and drinks are
  provided during the networking session.\n\nConfirmed Speakers:\n* Antonio
  Criminisi: Principal Researcher\, Microsoft Research\n* Peyman Gifani: Fo
 under and CEO\, AI VIVO
LOCATION:Wolfson Lecture Theatre\, Department of Chemistry\, Lensfield Rd\
 , CB2 1EW
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