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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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ARTIFICIAL INTELLIGENCE AND THE HEALTHCARE SYSTEM

Authors: SRISONIYA SUBRAMONIAM;

ARTIFICIAL INTELLIGENCE AND THE HEALTHCARE SYSTEM

Abstract

This essay explores the possibility of artificial intelligence being used in routine clinical practices given the increasing adaptation of the AI system in medical applications. Artificial intelligence has revolutionized the healthcare industry by enhancing diagnostic accuracy, better response time, and increased efficiency through analysis of complex medical data in short spans and providing solutions to result in improved patient outcomes. It should be noted that despite such advancements in healthcare delivery, application of AI brings to light the possibilities of biases or lack of transparency during the processing of data which further raises ethical questions and data privacy issues and highlights the need for proper regulation of the system before it is incorporated in the medical field without hesitation. This essay mainly addresses the question of whether artificial intelligence should be allowed to operate in the field despite its drawbacks.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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