How Is Artificial Intelligence Transforming the Medical Diagnosis?

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• How Is Artificial Intelligence Transforming the
  Medical Diagnosis?
• Artificial intelligence (AI) transforms according
  to the interaction, consumer information, and
  goods and services across industries. In the
  healthcare industry, AI is already changing
  patients experiences, how clinicians practice
  medicine, and how the pharmaceutical industry
  operates.
• Although, Artificial Intelligence plays an
  important role in different aspects of medical
  diagnosis like medical decision making,
  management, automation, admin, and workflows. It
  can be used to diagnose cancer, triage critical
  findings in medical imaging, acute flag
  abnormalities, help radiologists prioritize
  life-threatening cases, diagnose cardiac
  arrhythmias, predict stroke outcomes, and help
  manage chronic diseases.
• Since the, 1970s diagnostics and treatment have
  been the prime focus of AI, as MYCIN was
  developed at Stanford for diagnosing blood-borne
  bacterial infections. MYCIN and other early
  rule-based systems showed promise for diagnosing
  and treating disease accurately but were not
  adopted for clinical practice. They were not
  substantially better than human diagnosticians,
  and they were poorly integrated with clinical
  workflows and medical record systems.
• AI is a rich realm of data, algorithms,
  analytics, deep learning, neural networks, and
  insights that is growing and adapting to the
  needs of the healthcare industry and its
  patients. Although, over the past few years,
  artificial intelligence in medical care has
  reduced the extreme pressures felt by the
  medical industry and is constantly working to
  evolve in diagnostics. Recently IBMs Watson
  received considerable attention in the media for
  its focus on precision medicine, particularly
  cancer diagnosis and treatment. As Watson employs
  a combination of machine learning and NLP
  capabilities. However, AI seems to be still
  developing and soon a part of the healthcare
  diagnostic industry.
• To know about -
• Types of AI of Relevance to Healthcare
  Diagnostics
• AI Applications in Diagnostics
• AI Related Developments in Diagnostics
• Future of AI in Diagnoses
• How Can IEBS Help You?

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