AI medical Assistant

This research presents the design and implementation of an AI-powered virtual medical assistant tailored for South Asian healthcare needs. The system integrates a fine-tuned large language model with real-time speech recognition, multilingual support, and a 3D interactive consultation environment. By combining culturally adapted medical datasets with immersive technology, the solution aims to improve healthcare accessibility in underserved regions. Evaluation results demonstrate high accuracy in medical query responses and strong user engagement, indicating its potential as a scalable telehealth tool.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29875022.v1
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
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AI medical Assistant

Figshare
ICT in Developing Communities
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AI medical Assistant

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Abstract

This research presents the design and implementation of an AI-powered virtual medical assistant tailored for South Asian healthcare needs. The system integrates a fine-tuned large language model with real-time speech recognition, multilingual support, and a 3D interactive consultation environment. By combining culturally adapted medical datasets with immersive technology, the solution aims to improve healthcare accessibility in underserved regions. Evaluation results demonstrate high accuracy in medical query responses and strong user engagement, indicating its potential as a scalable telehealth tool.

Figshare
Quality Education
Openalex Percentile: Top 44%
ICT in Developing Communities
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AI medical Assistant · Figshare (2025) | TGRS Research Map | TGRS