AI Powered NLP Chatbot for Efficient Document Query Resolution and Summarization in Healthcare

Ch. Amarendra, P. Nayeem Khan, A. Chandra Sekhar, P. Praseedha, K. Srinivas

2025

Abstract

In today’s healthcare environment, managing information presents significant obstacles, especially when handling intricate documents and retrieving data efficiently. Doc Sense provides an innovative answer to these challenges by utilizing cutting-edge technologies for Natural Language Processing (NLP) to improve document analysis and data extraction. This system integrates sophisticated machine learning algorithms and intelligent processing frameworks to address the fundamental inefficiencies linked to traditional manual methods of document searching and interpretation.

Paper Citation

in Harvard Style

Amarendra C., Khan P., Sekhar A., Praseedha P. and Srinivas K. (2025). AI Powered NLP Chatbot for Efficient Document Query Resolution and Summarization in Healthcare. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 595-600. DOI: 10.5220/0013937700004919

in Bibtex Style

@conference{icrdicct`2525,
author={Ch. Amarendra and P. Khan and A. Sekhar and P. Praseedha and K. Srinivas},
title={AI Powered NLP Chatbot for Efficient Document Query Resolution and Summarization in Healthcare},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={595-600},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013937700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI Powered NLP Chatbot for Efficient Document Query Resolution and Summarization in Healthcare
SN - 978-989-758-777-1
AU - Amarendra C.
AU - Khan P.
AU - Sekhar A.
AU - Praseedha P.
AU - Srinivas K.
PY - 2025
SP - 595
EP - 600
DO - 10.5220/0013937700004919
PB - SciTePress