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Big Data to Artificial Intelligence in Healthcare

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Big Data to Artificial Intelligence in Healthcare

  1. 1.  Why we study Big Data in healthcare system?  Big Data Sources and technique  Some Examples of Artificial Intelligence in Healthcare
  2. 2.  Electronic health data sets are large, continuously growing, complex, difficult to manage with traditional software  90% Unstructured Data  25 X as much data over coming decade(One Exabyte by 2020) -Kaiser
  3. 3.  Designing treatment plans: IBM Watson launched program for oncologists Provides evidence-based treatment options  Assisting repetitive jobs:  Medical Sieve : Next generation “cognitive assistant” with analytical, reasoning capabilities and wide range of clinical knowledge. Assist clinical decision making in radiology and cardiology.
  4. 4.  Health assistance and medication management: AiCure App supported by The National Institutes of Health is a HIPAA-compliant software  Use smartphone’s webcam and AI to autonomously confirm that patients are adhering to their prescriptions Precision medicine: Deep Genomics aims at identifying patterns in huge data sets of genetic information and medical record Tell doctors what will happen within a cell when DNA is altered by genetic variation
  5. 5.  Stephen Hawking said that development of full artificial intelligence could spell the end of the human race Unraveling Big Data : make right decision at right time for right patients

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