Transforming Healthcare with Generative Artificial Intelligence: A Comprehensive Review
G.Arutjothi 1 , K.Geetha 2 , J.Nagapriya 3
- Dept. of Computer Science, Vivekanandha College of Arts and Sciences for Women(Autonomous), Tiruchengode, Namakkal, India.
- Dept. of Computer Applications, Government Arts (Autonomous), Salem-7, India.
- Dept. of Computer Science, Vivekanandha College of Arts and Sciences for Women(Autonomous), Tiruchengode, Namakkal, India.
Section:Review Paper, Product Type: Journal Paper
Volume-13 ,
Issue-3 , Page no. 65-69, Mar-2025
CrossRef-DOI: https://doi.org/10.26438/ijcse/v13i3.6569
Online published on Mar 31, 2025
Copyright © G.Arutjothi, K.Geetha, J.Nagapriya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Citation
IEEE Style Citation: G.Arutjothi, K.Geetha, J.Nagapriya, “Transforming Healthcare with Generative Artificial Intelligence: A Comprehensive Review,” International Journal of Computer Sciences and Engineering, Vol.13, Issue.3, pp.65-69, 2025.
MLA Citation
MLA Style Citation: G.Arutjothi, K.Geetha, J.Nagapriya "Transforming Healthcare with Generative Artificial Intelligence: A Comprehensive Review." International Journal of Computer Sciences and Engineering 13.3 (2025): 65-69.
APA Citation
APA Style Citation: G.Arutjothi, K.Geetha, J.Nagapriya, (2025). Transforming Healthcare with Generative Artificial Intelligence: A Comprehensive Review. International Journal of Computer Sciences and Engineering, 13(3), 65-69.
BibTex Citation
BibTex Style Citation:
@article{_2025,
author = {G.Arutjothi, K.Geetha, J.Nagapriya},
title = {Transforming Healthcare with Generative Artificial Intelligence: A Comprehensive Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2025},
volume = {13},
Issue = {3},
month = {3},
year = {2025},
issn = {2347-2693},
pages = {65-69},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5784},
doi = {https://doi.org/10.26438/ijcse/v13i3.6569}
publisher = {IJCSE, Indore, INDIA},
}
RIS Citation
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v13i3.6569}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5784
TI - Transforming Healthcare with Generative Artificial Intelligence: A Comprehensive Review
T2 - International Journal of Computer Sciences and Engineering
AU - G.Arutjothi, K.Geetha, J.Nagapriya
PY - 2025
DA - 2025/03/31
PB - IJCSE, Indore, INDIA
SP - 65-69
IS - 3
VL - 13
SN - 2347-2693
ER -
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Abstract
In today`s world, the role of Artificial Intelligence (AI) has become very dominant in all sectors. It is destroying applications in various fields. It is used in the medical world in various ways as a very important field. It is being used in recent days to improve efficiency, predict diseases and improve patient outcomes. The rise of Generative Artificial Intelligence (GenAI) is one of the most important. This cutting-edge technology is using sophisticated models such as power converters and diffusion models to revolutionize various systems in the healthcare sector. This article aims to review on the transformative impact of generative AI applications on healthcare, highlighting their immense potential, identifying existing challenges, and outlining future research directions.
Key-Words / Index Term
Artificial Intelligence, Healthcare Industry, Generative AI, GenAI, Prediction.
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