ARTIFICIAL INTELLIGENCE IN ANTICIPATING STROKES.

Authors

  • Akhil Aakunuri Pharm-D, Bharat Institute of Technology, India.
  • Hari Chandana Punukula Pharm-D, Bharat Institute of Technology, India.

DOI:

https://doi.org/10.32553/ijmsdr.v4i11.697

Keywords:

Artificial Intelligence, Machine learning, Stokes, Stroke Prediction, Stroke Disease, Stroke AI technology

Abstract

The computer machine Artificial Intelligence (Al). Which aims to emulate human intelligence, has become highly active and is introduced into many areas including medicine. The area of Al implementation for better test quality and patient treatment includes stroke medicine. The Stroke is the second leading cause of death, with severe, long term disability. Stroke is a sudden cortical disappearance due to lack of oxygen, narrowing of the blood stream or an inability to provide the consciousness with the pathway. The forms of stroke are ischemic hemorrhagic and acute ischemic. The death risk will continue to rise, according to the World Health Organization, with the next year’s stroke. Various experiments have been undertaken to diagnose stroke disorders. An artificial intelligence is the method for the detection and application deep learning for stroke and its forms. 

Keywords: Artificial Intelligence, Machine learning, Stokes, Stroke Prediction, Stroke Disease, Stroke AI technology.

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Published

2020-12-03

How to Cite

Aakunuri, A., & Punukula, H. C. . (2020). ARTIFICIAL INTELLIGENCE IN ANTICIPATING STROKES. International Journal of Medical Science And Diagnosis Research, 4(11). https://doi.org/10.32553/ijmsdr.v4i11.697

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Section

Articles