USING ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY IN THE HEALTH SECTOR HAS SEVERAL GOALS

Authors

  • Shehu Hassan Ayagi

Abstract

In a broad sense, artificial intelligence (AI) refers to any computer or system behavior that resembles human behavior. A subfield of artificial intelligence called "machine learning" enables computers to learn from data without explicit human programming. One of the most significant contemporary trends in global healthcare is the use of artificial intelligence (AI) technologies in medicine. Technologies based on artificial intelligence are profoundly transforming the world's healthcare system, enabling a dramatic reconstruction of the medical diagnostics system while simultaneously lowering healthcare expenditures. Identifying the class of diseases to which a disease belongs is crucial before treating it. It is feasible to categorize the type of disease based on the feature space of the condition. Algorithms for machine learning can address this issue.

Author Biography

Shehu Hassan Ayagi

The author suggests the existence of the undoubted influence of the background culture and mass culture on the effectiveness of rehabilitation processes.  The tasks undertaken by social rehabilitation pedagogues and people involved in the re-use of different types of cultural engineering should take into account the above influence and the image of contemporary Western culture affected by the crisis of values.  Presented concepts of resocialization through cultural activity and artistic creation are a testimony of truly humanistic search for remedial shaping of people who are socially maladjusted and show an important current in contemporary resocialization.

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Published

2024-01-08

How to Cite

Ayagi, S. H. (2024). USING ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY IN THE HEALTH SECTOR HAS SEVERAL GOALS. TMP Universal Journal of Research and Review Archives, 2(4). Retrieved from http://tmp.twistingmemoirs.com/index.php/ujrra/article/view/65

Issue

Vol. 2 No. 4 (2023): TMP Universal Journal of Research and Review Archives

Section

Original Article

License

Copyright (c) 2024 Shehu Hassan Ayagi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access article distributed under the terms of the Attribution 4.0 International License [CC BY 4.0], which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.