Extended Reality (XR) technologies are rapidly transforming medicine and healthcare by enabling immersive, interactive, and data-driven approaches to clinical practice, education, and patient care. Applications span surgical planning, intraoperative guidance, rehabilitation, clinical training, and remote healthcare systems. Despite this progress, research in XR for medicine remains fragmented across technical, clinical, and human-centered domains.
The International Workshop on Medical Extended Reality (Medical XR) consolidates two established workshop communities: XR-MED, previously held at IEEE ISMAR 2025 and IEEE VR 2026, and the XR Health workshop series, held at IEEE VR from 2022 to 2026. Following the consolidation of these communities, the first Medical XR workshop was held at IEEE ISMAR 2026. By bringing these communities together under the Medical XR theme, the workshop combines expertise in clinical XR applications, medical training and simulation, human-centered interaction, and healthcare-focused evaluation.
The workshop brings together researchers, clinicians, healthcare professionals, and industry representatives to share new ideas, discuss clinical and technical challenges, and foster collaboration. It provides a focused forum for clinically grounded, technically rigorous, and human-centered XR research, with the aim of bridging the gap between XR innovation and the specific requirements of medical practice.
We invite contributions spanning the full Medical XR pipeline, from technological innovation and medical training and simulation to clinical applications, integration, evaluation, and validation.
Submissions should be 4–6 pages, with up to 2 additional pages for references, and follow the VGTC conference format. Accepted papers will be published in the conference proceedings. We accept four submission types: technical papers presenting innovative XR systems, techniques, prototypes, or implementations for medical and healthcare contexts; evaluation studies reporting quantitative, qualitative, or mixed-methods research on XR use in medical settings; position papers offering conceptual, theoretical, or methodological perspectives that open new research directions; and demo or poster submissions presenting early-stage work, prototypes, practical implementations, or ongoing research.
Join us in shaping the future of XR technologies in medicine and healthcare!
Download the official CfP >>here<<
Topics of interest include, but are not limited to:
Clinical Applications: XR applications across clinical care, including diagnostic imaging, rehabilitation, remote healthcare, surgical planning, operating room applications, navigation, and real-time guidance.
Training & Simulation: High-fidelity medical education, simulation, and AI-driven skill acquisition and assessment.
Human-Centered Design: Optimization of XR interfaces for high-stakes and high-pressure medical environments.
Technological Integration: Synergies between XR, AI, multimodal sensing, haptics, medical imaging, and adaptive feedback.
Clinical Translation: Methodologies for rigorous evaluation, validation, and deployment of XR systems in clinical environments.
Governance & Safety: Reliability, patient safety, privacy, ethics, and regulatory compliance, including relevant FDA, MDR, and AI-specific regulations.
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Submission deadline: December 21, 2026 (AoE)
Submission format: Anonymized PDF following the IEEE Computer Society VGTC conference format
Length: 4–6 pages, with up to 2 additional pages for references
Submission platform: Microsoft CMT
Publication: Accepted workshop papers will be published in the IEEE Digital Library.
Notifications: January 7, 2027
Camera-ready:January 12, 2027(23:59 AoE)
Medical XR Workshop: February 27/28, 2027
*The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Contact Person: danny.schott@ovgu.de
Danny Schott – OVGU, Germany
Craig Anslow – RMIT University, Australia
Joaquim Jorge – University of Lisbon, Portugal
Doga Demirel – University of Oklahoma, USA
Florian Heinrich – OVGU, Germany
Daniel Roth – Technical University of Munich & TUM University Hospital, Germany
Ganesh Sankaranarayanan – University of Texas Southwestern Medical Center, USA
Moritz Queisner - Charité Berlin, Germany
Arnulph Fuhrmann – TH Köln, Germany
David Black – University of British Columbia, Canada
XR Health Workshop @ IEEE VR 2025 in St. Malo, France.
Medical XR Workshop @ IEEE ISMAR 2026 in Bari, Italy.