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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM24138

Artificial Intelligence in HealthCare

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM24138

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

P

Prof.S.S.Vyavahare

KA

Kapadane Aditya

TS

Thorat Sneha

WD

Wankhade Devyani

KS

Kamble Shubham

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Abstract

Artificial Intelligence (AI) is no longer just science fiction, Artificial Intelligence (AI) is actively revolutionizing and transforming healthcare, offering groundbreaking advancements in diagnostics, treatment planning, drug discovery, and predictive analytics. From robotic surgeries to AI-powered virtual patient care, from detecting illnesses early through medical imaging to predicting health risks before they become serious, the integration of AI promises efficiency, accuracy, and improved outcomes and also AI is becoming an essential tool in hospitals and clinics worldwide. However, as AI takes on a larger role in medicine, critical challenges emerge—patient trust, ethical concerns, explainability, and data privacy.This paper explores the intersection of AI and human expertise, emphasizing how technology should not replace, but rather empower healthcare professionals. By analyzing AI-driven innovations, real-world applications, and the challenges of adoption, we aim to highlight the path toward a healthcare system that is not just technologically advanced but also compassionate, ethical, and patient-centered. Through real-world examples, ethical discussions, and future possibilities, this research highlights how AI can work alongside medical professionals to create a smarter, more patient-friendly healthcare system.

KEYWORDS

Healthcare Artificial Intelligence Ethics Diagnostics Compliance

Cite This Article

Prof.S.S.Vyavahare, Kapadane Aditya, Thorat Sneha, Wankhade Devyani, Kamble Shubham, "Artificial Intelligence in HealthCare," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

8/29/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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1

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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