Work

AI-Powered Offline Diagnosis Systems for Rural Healthcare

Year: 2025

Type: conference-paper

Abstract: AI-powered offline diagnosis systems are innovative healthcare solutions designed to assist rural and remote communities with limited internet access. These systems use machine learning models embedded directly on mobile or edge devices to analyze medical data such as symptoms, images, or test results. By functioning without continuous connectivity, they provide timely disease detection, preliminary diagnoses, and treatment guidance, thereby bridging the healthcare gap where professional medical resources are scarce.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16885809

Author: Shaniha Saghi S M

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6893440735

FWCI:

Cites:

Cited by:

Related to: