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DTSTAMP:20260114T163652Z
LOCATION:Meeting Room C4.7\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T140000
DTEND;TZID=Australia/Melbourne:20231212T160000
UID:siggraphasia_SIGGRAPH Asia 2023_sess102_crs_117@linklings.com
SUMMARY:Approaches and Challenges in XR and AI for Health Applications
DESCRIPTION:Anderson Maciel and Joaquim Jorge (Instituto Superior Técnico,
  Universidade de Lisboa; Instituto de Engenharia de Sistemas e Computadore
 s - Investigação e Desenvolvimento (INESC-ID)); Catarina Moreira (Universi
 ty of Technology Sydney, Instituto de Engenharia de Sistemas e Computadore
 s - Investigação e Desenvolvimento (INESC-ID)); Anderson Maciel (Instituto
  Superior Técnico, Universidade de Lisboa); João Pereira (Instituto Superi
 or Técnico, Instituto Superior Técnico, Universidade de Lisboa); and Regis
  Kopper (University of North Carolina at Greensboro)\n\nWith the recent ad
 vances in VR and AR display technology, many interactive graphics applicat
 ions have been deployed to aid healthcare professionals in training, diagn
 osis, planning, and treatment. Sufficient advances have been made in the a
 rea to motivate a course that brings awareness and triggers new ideas with
 in the graphics community. VR and AR systems use medical images as a sourc
 e to model the human anatomy and place it in a virtual world, where three-
 dimensional and natural interaction allows for visualization and manipulat
 ion of such models in healthcare scenarios. However, VR and AR are concept
 ually different, and each is more suitable for a separate class of problem
 s. VR is immersive, blocking contact with reality and transporting the use
 r to another world - inside the body, for instance. It is suitable to expl
 ore and learn anatomy, learn surgical skills, plan complex surgical interv
 entions, simulate communication with patients in the office, and analyzing
  3D medical data in radiology. AR, in turn, let the users stay where they 
 are, to see the physical environment and peers, at the same time that a la
 yer of helpful information is added to the scene. Real objects such as a t
 able can serve as support to virtual augmentations such as physiological h
 olograms, views from inside the body, and pre-operative data can be overla
 id to the operation theater, allowing the more efficient exchange of infor
 mation with assistants and trainees. In robotic surgery, virtual reconstru
 ctions of organs are registered in place to help guide tumor extraction. H
 owever, several challenges still prevent us from spreading this technology
  to the world scale. Among them are nonstandard equipment, funny interface
 s, disorientation, fatigue, nausea, high latency, and poor real-time graph
 ics. The course will overview the current advances and challenges in this 
 area also in combination with novel AI techniques.\n\nRegistration Categor
 y: Full Access\n\n
URL:https://asia.siggraph.org/2023/full-program?id=crs_117&sess=sess102
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