Year: 2025
Type: article
Abstract: Access to early diagnosis in rural India remains critically inadequate due to limited healthcare infrastructure, a shortage of trained professionals, and poor digital connectivity.This paper presents AIDia, a scalable, AI-powered diagnostic assistant built to serve underserved rural populations through mobile and kiosk-based platforms.AIDia integrates a symptom-based AI chatbot, image analysis using convolutional neural networks (CNNs), multilingual voice input, offline functionality, and telemedicine linkage.Designed for real-world constraints, it enhances triage accuracy and ensures faster referrals even in low-literacy and lowconnectivity settings.The system incorporates ethical AI practices, including bias mitigation, data privacy, and explainability.Through community-level deployment, AIDia aims to strengthen rural health resilience and reduce the diagnostic gap.
Authors: Aditi Negi, Meenu Kaushik
Institution: Guru Gobind Singh Indraprastha University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4410939048