Essential Elements Required for a Successful AI Application in the Healthcare Industry

In a broad sense, artificial intelligence (AI) is any behavior shown by a computer or other system that is comparable to human behavior. Thanks to a type of artificial intelligence called "machine learning," computers can learn from data without explicit human programming. One of the most significant contemporary developments in international healthcare is the use of artificial intelligence (AI) technologies in medicine. Because artificial intelligence-based technologies enable a dramatic reconstruction of the medical diagnostics system and a commensurate reduction in healthcare costs. A sickness must be classified into the appropriate class of illnesses before therapy can start. The disease type can be categorized based on the feature space of the illness. Machine learning algorithms can help address this challenge. This article covers the essential elements required for a successful AI application in the healthcare industry.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-12
DOI
https://doi.org/10.5281/zenodo.13755066
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Essential Elements Required for a Successful AI Application in the Healthcare Industry

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Essential Elements Required for a Successful AI Application in the Healthcare Industry

article en

Abstract

In a broad sense, artificial intelligence (AI) is any behavior shown by a computer or other system that is comparable to human behavior. Thanks to a type of artificial intelligence called "machine learning," computers can learn from data without explicit human programming. One of the most significant contemporary developments in international healthcare is the use of artificial intelligence (AI) technologies in medicine. Because artificial intelligence-based technologies enable a dramatic reconstruction of the medical diagnostics system and a commensurate reduction in healthcare costs. A sickness must be classified into the appropriate class of illnesses before therapy can start. The disease type can be categorized based on the feature space of the illness. Machine learning algorithms can help address this challenge. This article covers the essential elements required for a successful AI application in the healthcare industry.

Zenodo (CERN European Organization for Nuclear Research)
Federal University of Technology Owerri (NG), Nigerian Defence Academy (NG)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare and Education
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