Artificial Intelligence In Healthcare

The key purpose of health-related AI applications is to examine relationships between prevention and treatment techniques and patient outcomes.

The practice of complicated algorithms and software to compete human reasoning within the study of complex medical data is the Artificial Intelligence (AI) in Healthcare. AI is the capability for computer algorithms to estimate conclusions without straight human input. The ability to gain information, process it and bounce a well-defined output to the end-user differentiates AI technology from traditional technologies in health care. Using machine learning algorithms AI does this. These algorithms can identify patterns in behaviour and creates own logic. AI algorithms need to be tested repeatedly, to reduce the margin of error. AI algorithms act inversely from humans in two ways: (1) algorithms as literal (2) and algorithms as black boxes.

  • AI and Robotics Transformation in Health Care

  • AI Technologies

  • AI in Radiology

  • Disease Diagnosis

  • Disease Diagnosis

  • Electronic Health Records

  • Drug Interactions

  • Creation of New Drugs

  • Derma scanner

  • Medical image computing

 

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