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Reinventing the Eye Examination - How New Techs Will Transform Healthcare

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Event
  • Session
  • Thursday, 27 April 2017
  • 15:27 - 15:27
  • Duration: 30 mins
  • Publication date: 30 Jun 2017
  • Location: Conference Room., Digital Garage, London, United Kingdom
  • Part of event The Future of AI in Healthcare

About the session

Our event is an opportunity to discover the drivers of the Artificial intelligence and Machine Learning movement in healthcare. From robots helping children with autism to a breathalyser diagnosing disease, innovation is the highlight of our day.

We invite award-winning industry disruptors featured in Fortune Magazine, TV News, and CB Insights who are leaders of top AI healthcare companies as well as tech and pharma giants and the NHS to unite under one roof.

We welcome these change-makers to share their future plans and spark meaningful conversation to go beyond the walls of our conference. How? We start by addressing where we are now and then asking what direction needs to be taken to create positive and meaningful integration of technology in healthcare for generations to come.

Welcome to The Future of Artificial Intelligence & Machine Learning in Healthcare!

Keywords:
  • AI
  • Artificial Intelligence
  • machine learning
  • technology

Channels

Sectors

Sectors

Health care

Health care

Speaker

  • Pearse Keane

    Pearse Keane

    Moorfields Eye Hospital, Consultant Ophthalmologist

    Pearse A. Keane, MD, FRCOphth, is a consultant ophthalmologist at Moorfields Eye Hospital, London and an NIHR Clinician Scientist, based at the Institute of Ophthalmology, University College London (UCL). Dr Keane specialises in applied ophthalmic research, with a particular interest in retinal imaging and new technologies. In April 2015, he was ranked no. 4 on a worldwide ranking of ophthalmologists under 40, published in "the Ophthalmologist” journal (https://theophthalmologist.com/the-power-list-2015/). In 2016, he initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of applying machine learning to automated diagnosis of optical coherence tomography (OCT) images.
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