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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Artificial Intelligence in Healthcare: Opportunities and Challenges

Authors: Ananya Singh, Rohit Das, Priya Menon;

Artificial Intelligence in Healthcare: Opportunities and Challenges

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatment, and improving operational efficiencies. This paper reviews the current applications of AI in healthcare, including machine learning in medical imaging, predictive analytics, and robotic-assisted surgeries. The study also addresses challenges such as data privacy, ethical considerations, and integration with existing healthcare systems. Future directions emphasize the need for robust AI models, regulatory frameworks, and multidisciplinary collaboration to fully realize AI�s potential in healthcare.

Keywords

Artificial intelligence, Healthcare applications, Medical diagnostics, Machine learning, Health technology

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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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