Artificial Intelligence in Health Care


Artificial intelligence in healthcare is the use of complex algorithms and software in other words artificial intelligence is also called as (AI) to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, Artificial Intelligence is the ability of computer algorithms to approximate conclusions without direct human input. Which distinguishes AI technology from traditional technologies in health care which is the ability to gain information, process it and it gives a well-defined output to the end-user. AI does this through machine learning algorithms and deep learning. These algorithms which can recognize patterns in behavior and they create their own logic. In order to reduce the margin of error, Artificial Intelligence algorithms need to be tested repeatedly. Artificial InteIligence algorithms behave differently from humans in two ways: (1) algorithms are literal: if you set a goal, the algorithm can't adjust itself and only understand what it has been told explicitly, (2) and some deep learning algorithms are black boxes; algorithms can predict with extreme precision, but not the cause or the why. Artificial Intelligence (AI) and Machine Learning (ML) have just begun making advances into different industries. Healthcare is rising as one of the greatest recipients of the Artificial Intelligence revolution. The innovation is fit for encouraging simple and secure access to patient medicinal information, understanding and analysing their conditions. There are significant challenges in this field that include: the acceptance of AI applications in clinical practice, initially to support diagnostics; the ability to leverage the confluence of personal networked devices and AI tools.


  • Digital Consultation
  • Drug Discovery
  • Health Monitoring
  • Precision Medicine
  • Virtual Nurses

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