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As the healthcare landscape continues to evolve, there's a growing emphasis on the integration of advanced technological interventions. VR, MR and AR, collectively known as XR, have been instrumental in various healthcare applications, enabling training and planning of interventions as well as remote collaboration. AI, known for data-driven insights, is transforming diagnostics and patient care. Combining these two areas will bring a new era in healthcare, marked by precision, personalization, and better patient experiences.
This workshop aims to:
Encourage discussions and share new developments in the XR and AI intersection within healthcare.
Spot emerging research areas and collectively map the future direction for these connected fields.
Boost the synergy between AI's cognitive abilities and XR's immersive features to imagine next-gen healthcare solutions.
Important Dates
Important Dates
Submission Deadline: November 22, 2023 (extended)
Notification: November 30, 2023 December 07, 2023
Camera-Ready: December 8, 2023 December 13, 2023 (hard deadline)
Workshop: TBD (main conference will be held between January 17 - 19, 2024)
Organizing Committee
Anderson Maciel
Associate Professor
Instituto Superior Técnico
Portugal
Catarina Moreira
Associate Professor
University Technology of Sydney
Australia
Faraz Janan
Senior Teaching Fellow
Imperial College London and
Anglia Ruskin University
UK
Submissions
Submissions
There are three general types of submissions:
Any paper that combines AI and XR in health
Heath-AI papers that are useful in XR contexts
Health-XR papers that are useful in AI contexts
All submitted papers should follow the main conference format and will go through a thorough peer review process. Accepted papers will be presented during the workshop, with dedicated sessions for in-depth discussions and networking.
Topics of interest
Topics of interest
AI-powered XR simulations for surgical training.
Medical imaging visualisation and reconstruction in XR
Cancer risk, diagnostics and simplification of clinical pathways using emerging technologies
VR setups improved by AI for physical therapy and rehabilitation.
Predictive AI models for understanding patient behavior in VR scenarios.
Innovative ways to visualize XR data for complex AI calculations.
XR tools combining AI for mental health therapies.
VR platforms designed for deep learning and AI functions.
The use of eye tracking in XR to enhance user experience and diagnostics.
Combining AI and eye tracking in XR for predicting analytics and patient monitoring.
XR applications that leverage eye tracking for better accessibility and interaction.
AI algorithms optimized for real-time analysis of eye movements in XR environments.
Call for papers
Call for papers
Paper Submission Information
Paper Submission Information
Submission Link: All papers must be submitted online using the EasyChair system (https://easychair.org/conferences/?conf=ieeeaixvr2024). Please visit the main conference website for up-to-date information.
Page Limit: We are expecting 4-page long papers, with a maximum of 6 pages where extensive imaging is involved (excluding references). Submission must be a single PDF file with an optional video as a separate file.
Where applicable, include video links showing visuals or artifacts directly in the paper.
Submission Template: The IEEE Manuscript Formatting guidelines (https://www.ieee.org/conferences/publishing/templates.html ) provide templates for formatting the paper. Authors must ensure that their papers are anonymized for the review process. Authors are strongly encouraged to use the LaTeX template (https://www.ieee.org/conferences/publishing/templates.html ) provided on the IEEE website for compiling their papers. All authors must ensure that they follow the IEEE policies for publications.
Proceedings: Workshop proceedings will be published by the IEEE Computer Society Press and included in the IEEE Xplore Digital Library.
Proceedings: Workshop proceedings will be published by the IEEE Computer Society Press and included in the IEEE Xplore Digital Library.
Reviewing process
Reviewing process
The review process is double-blind, meaning remove author information from your paper when submitting it. Each paper will be reviewed by at least two domain experts. There won't be a rebttal phase for submissions. Publishing in the workshop won't prevent you from publishing full paper or journal articles with more content in the future. However, you can't submit the same workshop paper to another place without adding more material. Authors of accepted papers must make requested changes and submit the final version by the camera-ready deadline.
Contact
Contact
Catarina Moreira (Lead and Coordinator) at catarina.pintomoreira@uts.edu.au
Anderson Maciel at anderson.maciel@tecnico.ulisboa.pt
Faraz Janan at fjanan@ic.ac.uk
Please mention HIeXR in the title of your email.
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