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Will Artificial Intelligence Change Healthcare?

My updated presentation at Grants4Apps Barcelona. Thanks to Jurjen Söhne @juris_tweets for the robot slides :)

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Will Artificial Intelligence Change Healthcare?

  1. 1. Will Artificial Intelligence Change Healthcare? Eugene Borukhovich SVP Healthcare @HealthEugene
  2. 2. Credit: Jurjen Söhne @juris_tweets
  3. 3. Credit: Jurjen Söhne @juris_tweets
  4. 4. Credit: Jurjen Söhne @juris_tweets
  5. 5. Intelligence Exhibited by machines Reasoning & Knowledge Planning & Learning Natural Language Processing Perception & Object Manipulations
  6. 6. Creation of data assets Over 2B mobile devices Cost of compute & storage Improvements in learning systems Perception & Object Manipulations E-Commerce Banking Search Engines Entertainment
  7. 7. Creation of data assets Over 2B mobile devices Cost of compute & storage Improvements in learning systems
  8. 8. Artificial Intelligence, Real Money Total venture capital money for pure AI startups, by year Data: CB Insights
  9. 9. Artificial Intelligence in Healthcare Data: CB Insights
  10. 10. Machine Learning Systems Neuroscience
  11. 11. Emotion Recognition (Emotient)
  12. 12. AI to predict drug resistance Peter Rogan of the University of Western Ontario reports that artificial intelligence is a powerful tool to predict drug outcomes because it looks at the sum of all the interacting genes.
  13. 13. US startup AiCure uses artificial intelligence on patient’s mobile devices to confirm medication ingestion support in clinical trials and high-risk populations. “Did you take your pill?” How AI could support medication adherence
  14. 14. AI for smarter drug development As a result of joint efforts of IBM, Johnson & Johnson, and Sanofi, IBM Watson Discovery Advisor could help doctors to match a drug with the right set of patients in order to maximize effectiveness and minimize side effects.
  15. 15. Assisted cognition systems explored by Department of Computer Science & Engineering University of Washington, are considered to make use of AI technology to replace some of the memory and problem- solving abilities that have been lost by an Alzheimer’s patient. AI for Alzheimer’s Patients
  16. 16. With IoT applications quickly reaching a limit of what could be done with all the data collected, machine-learning systems are adapting to handle larger capacities of incoming data AI for Wearable Health
  17. 17. Over 2M women Wearables
  18. 18. Regulations Credit: Matthew Scherer’s article ‘Regulating Artificial Intelligence Systems’.
  19. 19. “Difficult is what takes a little time; the impossible is what take a little longer” - Fridtjof Nansen, 1922
  20. 20. @HealthEugene

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