AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application
Published in arXiv preprint arXiv:2510.24724, 2025
Authors: Nazmun Nahar, Ritesh Harshad Ruparel, Shariar Kabir, Sumaiya Tasnia Khan, Shyamasree Saha, Mamunur Rashid
This study presents AmarDoctor, a multilingual voice-interactive digital health app designed to provide comprehensive patient triage and AI-driven clinical decision support for Bengali speakers, a population largely underserved in access to digital healthcare. AmarDoctor adopts a data-driven approach to strengthen primary care delivery and enable personalized health management. While platforms such as AdaHealth, WebMD, Symptomate, and K-Health have become popular in recent years, they mainly serve European demographics and languages. AmarDoctor addresses this gap with a dual-interface system for both patients and healthcare providers, supporting three major Bengali dialects. At its core, the patient module uses an adaptive questioning algorithm to assess symptoms and guide users toward the appropriate specialist. To overcome digital literacy barriers, it integrates a voice-interactive AI assistant. The clinician-facing interface incorporates AI-powered decision support that generates structured provisional diagnoses and treatment recommendations. Evaluated against a gold-standard set of 185 clinical vignettes, AmarDoctor achieved a top-1 diagnostic precision of 81.08% (versus a physician average of 50.27%) and a top specialty recommendation precision of 91.35% (versus 62.6%).
Recommended citation: Nazmun Nahar, Ritesh Harshad Ruparel, Shariar Kabir, Sumaiya Tasnia Khan, Shyamasree Saha, Mamunur Rashid. (2025). "AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application." arXiv preprint arXiv:2510.24724.
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