Paper Title

Bridging the Gap: On-Device Machine Learning for Multilingual Telemedicine in Remote Communities

Article Identifiers

Registration ID: IJNRD_224638

Published ID: IJNRD2311396

DOI: https://doi.org/10.5281/zenodo.14869134

Authors

Sivaramarajalu Ramadurai Venkataraajalu , Priyadarshini SRP

Keywords

Telemedicine, Remote Communities, Multilingual, On-Device, Machine Learning, Edge Computing, Healthcare

Abstract

This paper proposes an innovative healthcare system for remote communities, integrating on-device machine learning, telemedicine, and multilingual natural language processing. The system aims to overcome geographical, resource, and language barriers in healthcare access by providing initial diagnosis and triage on patients' mobile devices, facilitating real-time translation for patient-system interaction, and enabling secure telemedicine consultations. Key features include adaptable on-device diagnostic models, multilingual communication capabilities, emergency response coordination, and integration with electronic health records. The paper discusses the system's technical architecture, the critical role of medical professionals in its implementation and continuous improvement, and associated ethical considerations. By combining advanced technology with human expertise, this approach has the potential to significantly enhance healthcare accessibility and outcomes in underserved areas, contributing to the global goal of universal health coverage.

How To Cite

"Bridging the Gap: On-Device Machine Learning for Multilingual Telemedicine in Remote Communities", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d877-d883, November-2023, Available :https://ijnrd.org/papers/IJNRD2311396.pdf

Issue

Volume 8 Issue 11, November-2023

Pages : d877-d883

Other Publication Details

Paper Reg. ID: IJNRD_224638

Published Paper Id: IJNRD2311396

Downloads: 000121150

Research Area: Medical Science

Country: Hackensack, New Jersey, United States

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311396.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311396

DOI: https://doi.org/10.5281/zenodo.14869134

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area