Edge-Med: Optimizing ethical HCI for real-time healthcare via edge-AI Integration
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.
Authors
- L. Yang (ORCID: https://orcid.org/0009-0009-2679-6303)
- 潤一 飯塚
Institutions
- Shenzhen Polytechnic University (CN)
Publication Details
- Journal
- International Journal of Social Science and Education Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.33545/26649845.2025.v7.i2b.336
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00