Training Description
- Explores trustworthy artificial intelligence for the Internet of Medical Things (IoMT)
- Focuses on safety, ethics, and compliance in AI-enabled healthcare devices
- Brings together researchers, clinicians, designers, and policymakers
- Addresses real-world deployment, regulatory challenges, and user trust
- Emphasizes human-centered design and robust, explainable AI
TRUST-AI 2026: Trustworthy AI for IoMT is a workshop co-located with IEEE ICHI 2026, scheduled for June 1, 2026. This event is dedicated to advancing the safe, ethical, and effective integration of artificial intelligence into the Internet of Medical Things. It aims to bridge the gap between technical AI development, human-centered design, and governance in connected healthcare environments.
Core Themes and Topics
The workshop covers a broad range of topics central to the development and deployment of AI in IoMT. Key areas include predictive modeling, anomaly detection, personalization, and real-time analytics for medical devices. Human-centered design and usability are emphasized to ensure intelligent medical devices are accessible and effective for end users.
Additional focus areas include safety, security, privacy, and data governance in AI-enabled IoMT systems. The event also addresses user trust, explainable AI, transparency, fairness, and ethics. Policy, regulation, and compliance—such as GDPR, the EU AI Act, and FDA SaMD guidance—are discussed to help participants navigate the complex regulatory landscape.
Target Audience and Relevance
This workshop is designed for a diverse audience, including researchers, clinicians, medical device designers, engineers, policymakers, and industry professionals in health technology. Attendees are likely to hold roles such as AI researcher, data scientist, clinical informaticist, product manager, regulatory affairs specialist, or healthcare IT leader.
Participants will benefit from discussions on integrating AI into clinical workflows, ensuring safety and privacy, and building user trust in AI systems. The event provides a platform for sharing deployment experiences, case studies, and lessons learned from real-world applications.
Event Format and Experience
TRUST-AI 2026 is an in-person workshop featuring paper presentations, case studies, and policy discussions. The format encourages both mature and emerging work, fostering knowledge sharing and collaboration among attendees. The event is positioned as a hub for education, thought leadership, and community building in the field of trustworthy AI for connected healthcare.
Key Messaging and Positioning
Recurring themes throughout the workshop include trustworthy AI, human-centered design, robustness, privacy-preserving analytics, explainable AI, and compliance-by-design. The event is committed to bridging the gap between algorithmic intelligence, human experience, and governance, ensuring that AI-enabled IoMT systems are both clinically meaningful and compliant with ethical standards.