WORKSHOP AIM AND TOPICS
The EAI4Health Workshop aims to bring together researchers at the intersection of Embedded/Edge Systems, Artificial Intelligence, and Digital Health, and provide a forum to share innovative Embedded Intelligence technologies to advance the Digital Health domain. The topics of interest include, but are not limited to:
Explainable AI for medical applications
AI security and privacy in digital health
AI fairness and bias in digital health
Emerging applications of Embedded AI in digital health
Model compression and pruning techniques for digital health
Continual on-tiny-device learning
Context-aware and adaptive learning
Edge AI models and learning algorithms
Split learning across heterogeneous embedded devices
Resource-constrained scalable learning
Networked Embedded AI architecture
Resource allocation and optimisation
SUBMISSION INFORMATION
The papers will be published as part of the conference proceedings and will appear in the ACM Digital Library. We encourage submissions from academia and industry alike. Full papers can have a maximum length of 6 pages (two-column format). The workshop also accepts short position papers of a maximum length of 2 pages in the same format. The page limits include figures, tables, and references. Authors should use the standard ACM 2-column template provided here . Please submit your manuscript through EAI4Health '25 .
IMPORTANT DATES
Submission deadline June 30, 2025 July 13, 2025 (23:59, AOE)
Acceptance notification July 14, 2025 July 20, 2025
Camera-ready deadline July 30, 2025
Workshop date October 12, 2025