Proposers
Dr. Malika Bendechache, Dr. Ramin Ranjbarzadeh, Dr. Ayse Keles and Shokofeh Anari
Workshop Code
Please use the following code when submitting your paper to this Workshop: W3-CLINICAL
Scope and Aims
Medical imaging, diagnosis, surgical planning, and clinical training are all changing as a result of the quick convergence of Artificial Intelligence (AI) with Virtual Reality (VR), Augmented Reality (AR), and Extended Reality (XR). Conventional 2D visual environments limit the ability to engage with complicated anatomical data, perceive depth, and reason spatially. Clinicians and researchers can now visualize, navigate, and interpret medical images in dynamic 3D environments with the assistance of AI-powered extended reality systems.
This workshop’s main objectives are to:
- Investigate AI-powered XR clinical imaging, diagnosis, and intervention solutions.
- Encourage the development of sophisticated training, simulation, and visualization tools.
- Deal with the usability, clinical, and technical issues in immersive healthcare.
- Encourage cooperation between developers, engineers, physicians, and AI researchers.
- Emphasize practical and translational applications in medical education and hospitals.
Content and Objectives
This workshop will feature research presentations, demonstrations, and invited lectures that concentrate on AI-assisted immersive technologies in medicine. It will provide a forum for idea sharing, technical innovation discussions, and clinical opportunity identification.
Content Areas in Plan:
- AI-powered XR systems for surgical imaging, pathology, and radiology
- Digital twins and deep learning-based 3D reconstruction from CT, MRI, and PET
- Using VR/AR for skill evaluation, procedural simulation, and medical education
- Immersion diagnostic solutions that integrate generative AI and LLM
- Real-time interaction, haptics, and rendering for surgery and telemedicine
- Explainable AI, privacy, safety validation, and ethical requirements in XR healthcare
Goals of the Workshop:
- Showcase state-of-the-art intelligent XR solutions for medical applications
- Determine clinical adoption routes and open research obstacles.
- Promote cooperative endeavors and multi-institution programs.
- Create an international network of topic experts and potential contributors.
Case studies, demos, short papers, and full papers are all expected submission types.