Work

Edge-Med: Optimizing ethical HCI for real-time healthcare via edge-AI Integration

Year: 2025

Type: article

Abstract: This study addresses critical gaps in decentralized healthcare systems by proposing Edge-Med an integrated framework combining edge computing with human-centered AI. Targeting time-sensitive medical interventions (e.g., fall detection, stroke prediction), we resolve the fundamental conflict between operational efficiency and ethical compliance through three innovations.

Source: International Journal of Social Science and Education Research

DOI: 10.33545/26649845.2025.v7.i2b.336

Authors: Run Zhong, Lei Yang

Institution: Shenzhen Polytechnic University

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4412683713