Artificial Intelligence Defining the Future of Healthcare

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Artificial Intelligence Defining the Future of
Healthcare
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• AI- The Future of Healthcare
• AI leads technique technological advancements
  across the various healthcare sub-sectors.
• VC PE investment trends in the domain has been
  dominated by heavy focus on applications that
  drive reduction of human involvement in routine
  mechanical tasks.
• Major investing companies include Google Apple,
  with the former pouring in investment to the tune
  of 4bn since 2008 and the latter close to 1bn.
• IBMs Watson has been the subject of a lot of
  chatter owing to its success in using data to
  drive decision-making even in critical illnesses
  like cancer.

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AI A point of logical action in Healthcare

• Logical action driven by data from a deep neural
  network.
• Unforeseen data can result in unpredictable
  conclusions- ergo these conclusions are only used
  to aide healthcare professionals individuals.
• Use case exemplified by IBMs Watson and even
  mobile phone healthcare apps and wearables.

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• AI in Patient Care Safety
• AI is capable of reducing variations in patient
  care.
• Reduction in unnecessary risks.
• Drawback AI as a medical assistant for
  practitioners.

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• AI as a Global Health Shield- ML NLP
• AI automates data which can be sifted by NLP and
  ML.
• Sifting through over 100,000 sources (including
  airline ticketing) in 65 languages, Canadian
  Startup, BlueDot used AI to detect a flu-like
  outbreak in Wuhan, China.
• Prediction, Precaution Prevention are three of
  key assists that AI can provide in healthcare.

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• AI in Drug Discovery Treatment Methods for
  Healthcare
• AI helps reduce manual labour in Drug Discovery
  RD.
• AI helps reduce time taken for research into
  drugs treatment methods.
• AI helps reduce the cost of making drugs, thus
  making the products cheaper for patients.
• Deep learning (DL), a part of ML engages
  artificial neural networks (ANNs) to mimic the
  impulses of the human brain to suggest
  conclusions actions to healthcare researchers,
  professionals practitioners.

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• Patient Discovery for Healthcare Via AI
• Optical imaging cameras help in detecting the
  temperature of patient.
• Helpful to curb the outspread of contagious
  diseases.

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