为孟加拉语使用者打造的智能问诊语音应用，提升基层医疗可及性。
AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application for Primary Care Triage and Patient Management to Bridge the Digital Health Divide for Bengali Speakers
- 基于自适应提问算法和语音交互，支持三种孟加拉方言。
- 诊断准确率81.08%，专科推荐准确率91.35%，优于医生平均表现。
- 兼顾患者与医生双端使用，助力数字健康公平化。
本研究提出AmarDoctor，一款面向孟加拉语人群的多语言语音交互式数字健康应用，旨在提供全面的患者分诊与AI驱动的临床决策支持，弥补该群体在数字医疗服务中的缺口。尽管AdaHealth、WebMD、Symptomate和K-Health等平台近年流行，但主要服务于欧洲语种人群。AmarDoctor采用双界面系统，支持三类主流孟加拉方言。患者端通过自适应提问算法评估症状并引导至对应专科；为克服数字素养障碍，集成语音交互式AI助手协助操作。医生端则引入AI辅助决策功能，生成结构化初步诊断与治疗建议，支持电子处方、视频问诊和病历管理。临床准确性经185个由资深医师制定的临床案例集验证。结果显示，AmarDoctor的顶1诊断精确率达81.08%（医生均值50.27%），顶1专科推荐精确率达91.35%（医生均值62.6%）。
原文摘要 · Abstract (English)
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 that navigates users through the app services. Complementing this, the clinician-facing interface incorporates AI-powered decision support that enhances workflow efficiency by generating structured provisional diagnoses and treatment recommendations. These outputs inform key services such as e-prescriptions, video consultations, and medical record management. To validate clinical accuracy, the system was evaluated against a gold-standard set of 185 clinical vignettes developed by experienced physicians. Effectiveness was further assessed by comparing AmarDoctor performance with five independent physicians using the same vignette set. Results showed AmarDoctor achieved a top-1 diagnostic precision of 81.08 percent (versus physicians average of 50.27 percent) and a top specialty recommendation precision of 91.35 percent (versus physicians average of 62.6 percent).
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