Developing the surgeon-machine interface: using a novel instance-segmentation framework for intraoperative landmark labelling

Developing the surgeon-machine interface: using a novel instance-segmentation framework for intraoperative landmark labelling

IntroductionThe utilisation of artificial intelligence (AI) augments intraoperative safety, surgical training, and patient outcomes. We introduce the term Surgeon-Machine Interface (SMI) to describe this innovative intersection between surgeons and machine inference. A custom deep computer vision (C...

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Bibliographic Details
Main Authors: Jay J. Park, Nehal Doiphode, Xiao Zhang, Lishuo Pan, Rachel Blue, Jianbo Shi, Vivek P. Buch
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Surgery
Subjects:
artificial intelligence
intraoperative guidance
machine learning
surgical guidance
spine
arteriovenous fistula
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2023.1259756/full

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