Saturday, February 27, 2016

Thoughts on Artificial Intelligence in Health


Thoughts on Artificial Intelligence in Health (last updated 27 Feb 2016)

Key points:

  1. Current edge in AI is self-teaching systems
  2. Data scientists offer a unique edge to information-dense, complex systems - make better decisions in the oncoming period of disruption.
  3. The use of AI in Healthcare will aim to reduce the downside of the critical human element (eg fatigue, mistakes, gaps in knowledge) and augment the benefits (more patient-doctor time, comprehension / observation of complex emotional situations, comfort, human touch and compassion)

Latest News:


  1. 26 Feb 2016: Google AI group, DeepMind, launches DeepMind Health with two initial apps: Streams, to find patients at high risk of acute kidney injury; Hark, to manage clinical tasks and interventions. Here's Imperial College London's experience with Hark.
  2. Artificial intelligence startup MedyMatch launches, former Philips exec tapped as CEO


Current Weaknesses in the System


  1. Dependent on the accuracy of structured data
  2. Ability to interpret unstructured data still rapidly developing
  3. Disease is multifactorial - and treatment success is in part driven by patient compliance (human factor again)





No comments:

Post a Comment

Labels