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  Published Paper Details:

  Paper Title

AI-Powered Health Report Analyzer: Translating and Explaining Medical Reports Using Deep Learning

  Authors

  Khushi Balkrishna Gupchup

  Keywords

AI in healthcare, medical report simplification, native language translation, deep learning, NLP, health tech

  Abstract


Medical reports often contain complex medical terms and are typically written in English, which makes them difficult for many patients to understand. This project presents a simple and smart web application that allows users to upload their lab reports, simplifies difficult medical language, and translates the results into the user's native language. Using Artificial Intelligence (AI), Natural Language Processing (NLP), and translation APIs, the system converts medical reports into clear and meaningful summaries. Built with React.js and Node.js, this web app also respects user privacy by processing and storing data only with user consent. The goal is to make health reports accessible, understandable, and useful to everyone -- regardless of language or background.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2506819

  Paper ID - 289492

  Page Number(s) - g996-g998

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Khushi Balkrishna Gupchup,   "AI-Powered Health Report Analyzer: Translating and Explaining Medical Reports Using Deep Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.g996-g998, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506819.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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