AI & Machine Learning in HealthCare & Medical Science

Machine learning works effectively in the presence of huge data. Medical science is producing a large amount of data every day from research and development (R&D), physicians and clinics, patients, caregivers etc. These data can be used as synchronizing the information and using it to improve healthcare infrastructure and treatments. This has the potential to help so many people, to save lives and money. As per a research, big data and machine learning in pharma and medicine could generate a value of up to $100B annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators.

Applications of Machine Learning in Medical Science-

  • Disease identification/diagnosis
  • Personalized treatment/behavioral modification
  • Drug discovery/manufacturing
  • Clinical trial research
  • Radiology and radiotherapy
  • Smart electronic health records
  • Epidemic outbreak prediction

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