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01 · ABSTRACT

Abstract

Image-guided surgery using XR (extended reality: VR/AR/MR) technology has the potential to revolutionize the field of surgery by improving surgical accuracy, reducing procedure time, and enhancing communication and collaboration among the surgical team. We have developed a web-based system, Holoeyes, integrating XR, AI, and metaverse technology to facilitate holographic image-guided surgery. Holoeyes extracts organ shape data from CT or MRI scans and renders them with positional information to obtain X, Y, and Z coordinates. These coordinates are then converted into polygonal information for use in XR technology. The medical device, Holoeyes MD, was developed to create XR applications for surgical planning and navigation. It provides an immersive experience for the surgical team, improving both accuracy and efficiency. The integration of the metaverse in surgery allows for spatial conferencing and review of training, and the avatars replicate the hand and eye movements of the actual surgical procedure. Our Holoeyes system has already been utilized in numerous institutions for pre-and post-operative conferences, surgical planning, and surgical records, with multiple people wearing the headset and sharing information about the pathology, extent of resection, and layers of dissection from all directions. We conducted a systematic review of the literature to investigate the effectiveness of Holoeyes, focusing on the use of XR and the metaverse in surgery. We believe that Holoeyes has the potential to become an indispensable tool in the field of surgery, and we encourage further research and development in this field.

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 11 No 7.1 (2023): July Issue, Vol.11, Issue 7.1
SectionReview Articles
Published06 July 2023
DOI10.18103/mra.v11i7.1.4045
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

Authors & affiliations

MS

Maki Sugimoto

Innovation Lab, Teikyo University Okinaga Research Institute, Tokyo, Japan; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan

TS

Takuya Sueyoshi

Innovation Lab, Teikyo University Okinaga Research Institute, Tokyo, Japan

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