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ARTIFICIAL INTELLIGENCE IN HEALTHCARE: TRANSFORMING MODERN MEDICINE

Authors: Aisha Rahman; Michael Johnson; Sarah Williams; Ahmed Khan; Emily Roberts;

ARTIFICIAL INTELLIGENCE IN HEALTHCARE: TRANSFORMING MODERN MEDICINE

Abstract

Artificial Intelligence (AI) has emerged as one of the most transformative technologies in healthcare and medicine. By utilizing advanced algorithms, machine learning, and deep learning techniques, AI has significantly improved disease diagnosis, treatment planning, patient monitoring, and healthcare management. The integration of AI into healthcare systems has enhanced the accuracy of medical decision-making, reduced operational costs, and improved patient outcomes. Despite its numerous advantages, challenges related to data privacy, ethical concerns, and implementation barriers continue to exist. This review paper explores the applications, benefits, challenges, and future prospects of AI in healthcare, highlighting its role in revolutionizing modern medicine.

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Powered by OpenAIRE graph
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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
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