XR in Medicine: From the Dev Floor to the Operating Room

Enoch Omale, Nick Shelton, Jacob Alford, Gabriel Friedman, Kurt Yaeger, Daniel Hu, Haden Oliphant, Sina Soltanzadeh Zarandi, James Hu

Research output: Contribution to conferenceAbstractpeer-review

Abstract

XR technologies are beginning to reshape surgical navigation, rehabilitation, and education but real-world adoption remains limited. This workshop and paper explore XR's translational challenges through a clinician-centered lens. Grounded in our experience developing an intraoperative XR system, we advocate for a biodesign-first approach. We highlight where XR succeeds, where it fails, and why deep clinical integration, not necessarily technical novelty, drives real impact. The workshop brings together clinicians, engineers, and researchers to examine real clinical use cases in robotic surgery, physical therapy, training, and remote care. Through breakout discussions, we'll critically assess where XR genuinely improves outcomes, and where it does not. This session is especially relevant to developers seeking real-world constraints, researchers looking to ground their tools in practice, and clinicians interested in shaping the next generation of medical interfaces. Attendees will leave with not only new collaborations but a practical framework for translational XR: one that builds not for XR's sake, but for patient impact.

Original languageEnglish (US)
Pages1-3
Number of pages3
DOIs
StatePublished - Aug 19 2025
EventSIGGRAPH 2025 Frontiers - Vancouver, Canada
Duration: Aug 10 2025Aug 14 2025

Conference

ConferenceSIGGRAPH 2025 Frontiers
Country/TerritoryCanada
CityVancouver
Period8/10/258/14/25

Keywords

  • augmented reality
  • biodesign
  • clinical collaboration
  • computer graphics
  • healthcare innovation
  • human-computer interaction
  • intraoperative visualization
  • medical education
  • medical imaging
  • medical simulation
  • rehabilitation
  • translational research
  • virtual reality
  • XR in medicine

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Anesthesiology and Pain Medicine
  • Computer Science Applications

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