Computer vision in the surgical operating room

Article


Chadebecq, F., Vasconcelos, F., Mazomenos, E. and Stoyanov, D. 2020. Computer vision in the surgical operating room. Visceral Medicine. 36 (6), pp. 456-462. https://doi.org/10.1159/000511934
TypeArticle
TitleComputer vision in the surgical operating room
AuthorsChadebecq, F., Vasconcelos, F., Mazomenos, E. and Stoyanov, D.
Abstract

Background: Multiple types of surgical cameras are used in modern surgical practice and provide a rich visual signal that is used by surgeons to visualize the clinical site and make clinical decisions. This signal can also be used by artificial intelligence (AI) methods to provide support in identifying instruments, structures, or activities both in real-time during procedures and postoperatively for analytics and understanding of surgical processes. Summary: In this paper, we provide a succinct perspective on the use of AI and especially computer vision to power solutions for the surgical operating room (OR). The synergy between data availability and technical advances in computational power and AI methodology has led to rapid developments in the field and promising advances. Key Messages: With the increasing availability of surgical video sources and the convergence of technologies around video storage, processing, and understanding, we believe clinical solutions and products leveraging vision are going to become an important component of modern surgical capabilities. However, both technical and clinical challenges remain to be overcome to efficiently make use of vision-based approaches into the clinic.

KeywordsArtificial intelligence; Computer-assisted intervention; Computer vision; Minimally invasive surgery
LanguageEnglish
PublisherKarger
JournalVisceral Medicine
ISSN2297-4725
Electronic2297-475X
Publication dates
Online15 Oct 2020
Publication process dates
Submitted12 Jun 2020
Accepted30 Sep 2020
Deposited28 Feb 2024
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1159/000511934
Web of Science identifierWOS:000598157000006
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