[CFP] IEEE MetroLivEnv 2026 - Special Session #09: "Artificial Intelligence and eXtended Reality for Smart Healthcare Metrology."

Dear Colleagues,

We are pleased to invite you to contribute to the Special Session #09:
"Artificial Intelligence and eXtended Reality for Smart Healthcare
Metrology," hosted at the 2026 IEEE International Workshop on Metrology for
Living Environment (MetroLivEnv), to be held July 14=E2=80=9316, 2026, in C=
ambridge,
UK.

This special session explores the intersection of AI and XR as
transformative tools for smart healthcare metrology within the Industry 4.0
paradigm. We invite researchers and practitioners to submit their work
regarding methodologies, frameworks, and applications that leverage
AI-enhanced XR to advance reliable and user-centered healthcare measurement
systems.

Please see the CfP below for details and forward it to colleagues who might
be interested. For further and updated information, please visit the
session page: <https://metrolivenv.org/>
https://www.metrolivenv.org/special-session-09.

If you have any questions, don't hesitate to contact the organizers. We
look forward to receiving your submissions and meeting you in Cambridge.

Best wishes,

Nicola Capece, Antonella Iuliano, Gilda Manfredi, and Maura Mecchi.

------------------------------

Call for Papers - Special Session #09

"Artificial Intelligence and eXtended Reality for Smart Healthcare
Metrology" 2026 IEEE International Workshop on Metrology for Living
Environment July 14-16, 2026 | Cambridge, UK

------------------------------

SPECIAL SESSION DESCRIPTION

This special session focuses on the emerging role of Artificial
Intelligence (AI) and eXtended Reality (XR) as key enabling technologies
for smart healthcare metrology within the Industry 4.0 paradigm. The rapid
evolution of XR is transforming human=E2=80=93machine interaction by blurri=
ng the
boundaries between digital and physical worlds, while AI enhances immersive
environments through intelligent perception, adaptive content generation,
and personalized interaction.

In healthcare metrology, the synergy between AI and XR opens new
opportunities to improve measurement accuracy, uncertainty management,
traceability, and usability across clinical, biomedical, and rehabilitation
contexts. AI-driven capabilities such as object, spatial, and gesture
recognition, intelligent virtual agents, and data-driven decision support
can be integrated into XR-based measurement and calibration workflows,
enabling realistic simulations, real-time feedback, and intelligent
supervision.

The special session aims to bring together researchers and practitioners to
present methodologies, frameworks, and applications that leverage
AI-enhanced XR to advance smart, reliable, and user-centered healthcare
measurement systems, while also addressing challenges related to
validation, interoperability, and regulatory compliance.
TOPICS

The list of topics includes (but is not limited to) the following:

   -

   AI-driven real-time personalization of immersive healthcare interfaces.
   -

   Multimodal interaction (speech, gesture, gaze) for medical metrology.
   -

   Uncertainty quantification and data-driven decision support in XR.
   -

   AI-enhanced XR for clinical, biomedical, and rehabilitation measurements=
.
   -

   Validation, interoperability, and regulatory compliance of AI-XR systems=
.
   -

   Intelligent virtual agents for supervised healthcare monitoring.
   -

   Machine learning for high-dimensional biomedical data in immersive
   environments.
   -

   XR-based measurement and calibration workflows.

IMPORTANT DATES

   -

   Abstract Submission Deadline: May 8, 2026
   -

   Full Paper Submission Deadline: June 10, 2026
   -

   Workshop Dates: July 14=E2=80=9316, 2026

SUBMISSION AND PROCEEDINGS

Authors should prepare their contributions according to the IEEE
MetroLivEnv guidelines. Papers must be submitted through the official
conference portal, selecting Special Session #09. All contributions will
undergo a peer-review process based on quality, originality, and relevance.
Accepted papers will be published in the workshop proceedings and indexed
in major bibliographic databases (IEEE Xplore).
ORGANIZERS

Nicola Capece University of Basilicata, Italy

[email protected]

Antonella Iuliano University of Basilicata, Italy

[email protected]

Gilda Manfredi University of Basilicata, Italy

[email protected]

Maura Mecchi University of Basilicata, Italy

[email protected]

------------------------------

For any questions regarding the thematic session, please do not hesitate to
contact the organizers via email.

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