Explainable Health AI
Explainable AI for wearable, mobile, telehealth, rehabilitation, and digital therapeutic systems.
Call for Papers
Track 20Explainable and Trustworthy AI for Digital Health
ETA-Digital Health, Track 20 and an Emerging Area Track at the 2027 ACM International Conference on Trustworthy and Responsible AI and Computing Systems.
About the Track
Building digital health AI that people can trust
Artificial intelligence is increasingly embedded in wearable devices, mobile health platforms, remote care systems, rehabilitation technologies, and consumer-facing health applications. These systems must be more than accurate. They must also be transparent, auditable, fair, secure, and aligned with clinical, regulatory, and everyday-use expectations.
ETA-Digital Health provides a dedicated forum for foundational and applied research at the intersection of explainable AI, trustworthy systems, and digital health. We welcome contributions from researchers, clinicians, engineers, and policymakers advancing safe, reliable, and human-centered AI across digital and mobile health.
Scope
Track Topics
Wearable Intelligence
Multimodal biosignal fusion, uncertainty quantification, and continuous physiological sensing.
Privacy and Edge AI
Federated learning, on-device intelligence, secure enclaves, trusted execution environments, and device security.
Human-Centered Trust
Patient trust, human-in-the-loop design, equity, accessibility, and the digital divide in mHealth adoption.
Agentic and Remote Care
Agentic AI for remote monitoring, care coordination, mHealth systems, and telehealth delivery.
Governance and Evaluation
Benchmark datasets, responsible evaluation, data ownership, governance, and SaMD regulatory pathways.
Immersive Digital Health
Trustworthy and explainable AI for VR/AR-based rehabilitation and digital health applications.
Smartphone Therapeutics
AI for smartphone-based digital therapeutics and consumer-facing health technologies.
Submission
Paper Guidelines
Manuscripts must be submitted in PDF format using the two-column ACM sigconf template. Full papers may be up to 9 pages, including appendices, with unlimited pages for references and the GenAI Usage Disclosure section.
Reviewing will be double-blind. Accepted papers will appear in the ACM Digital Library and are expected to be indexed in EI Compendex and Scopus.
Timeline
Important Dates
01
Abstract Registration
October 24, 2026
02
Paper Submission
October 31, 2026
03
Acceptance Notification
December 31, 2026
04
Camera Ready
February 28, 2027
05
Conference
March 7-9, 2027
Leadership
Track Chairs
SD
Dr. Sagnik Dakshit
Kennesaw State University
sdakshit@kennesaw.eduAT
Dr. Ahmad P. Tafti
University of Pittsburgh
tafti.ahmad@pitt.eduAT
Dr. Ayse Tekes
Kennesaw State University
atekes@kennesaw.eduOfficial Document
Call for Papers PDF
Contribute to ETA-Digital Health