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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35757

MedBot : A GenAI based Chatbot for Healthcare

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM35757

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM35757

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

PA

Pratham Agarwal

YA

Yash Agrawal

SA

Shreeya Agarwal

SMSG

Sangya Medhavi Shree Goyal

MM

Merin Meleet

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Abstract

Generative Artificial intelligence (GenAI) is transforming the healthcare industry by providing innovative solutions for patient care and information retrieval. MedBot is an innovative GenAI-driven chatbot designed to improve healthcare services by providing accurate and timely medical information. Utilizing advanced generative AI models, MedBot can respond to text, image, and audio queries, making it a versatile tool for diverse healthcare needs. The chatbot offers functionalities such as document summarization and insight extraction, aiding users in comprehending complex medical data. MedBot aims to enhance patient care by ensuring efficient and accessible interactions between users and healthcare information. This work signifies a substantial advancement in the integration of AI technologies within the healthcare sector, aiming to improve the overall efficiency and accessibility of medical support and information.

KEYWORDS

Generative Artificial Intelligence Large Language Models ChatBots Healthcare

Cite This Article

Pratham Agarwal, Yash Agrawal, Shreeya Agarwal, Sangya Medhavi Shree Goyal, Merin Meleet, "MedBot : A GenAI based Chatbot for Healthcare," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024. https://doi.org/10.55041/IJSREM35757

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Publication Date

6/13/2024

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Double-Blind Peer Review

Review Rounds: 2

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

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