Large-scale surgical workflow segmentation for laparoscopic sacrocolpopexy [PDF]
Int J Comput Assist Radiol Surg, 2022 Laparoscopic sacrocolpopexy is the gold standard procedure for the management of vaginal vault prolapse. Studying surgical skills and different approaches to this procedure requires an analysis at the level of each of its individual phases, thus ...
Yitong Zhang +5 more
semanticscholar +7 more sources
Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy [PDF]
Int J Comput Assist Radiol Surg, 2021 Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus on utilizing a convolutional neural network and a recurrent neural network (CNN–RNN) to solve the surgical ...
Bokai Zhang +4 more
semanticscholar +5 more sources
An Interaction-Based Bayesian Network Framework for Surgical Workflow Segmentation [PDF]
Int J Environ Res Public Health, 2021 Recognizing and segmenting surgical workflow is important for assessing surgical skills as well as hospital effectiveness, and plays a crucial role in maintaining and improving surgical and healthcare systems. Most evidence supporting this remains signal-
N. Luo, A. Nara, K. Izumi
semanticscholar +5 more sources
Phase Segmentation Methods for an Automatic Surgical Workflow Analysis [PDF]
International Journal of Biomedical Imaging, 2017 In this paper, we present robust methods for automatically segmenting phases in a specified surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) approaches.
Dinh Tuan Tran +3 more
doaj +6 more sources
Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study [PDF]
Nat Commun, 2023 Recent advancements in artificial intelligence have witnessed human-level performance; however, AI-enabled cognitive assistance for therapeutic procedures has not been fully explored nor pre-clinically validated.
Jianfeng Cao +12 more
semanticscholar +2 more sources
A novel high accuracy model for automatic surgical workflow recognition using artificial intelligence in laparoscopic totally extraperitoneal inguinal hernia repair (TEP) [PDF]
Surg Endosc, 2023 Artificial intelligence and computer vision are revolutionizing the way we perceive video analysis in minimally invasive surgery. This emerging technology has increasingly been leveraged successfully for video segmentation, documentation, education, and ...
M. Ortenzi +7 more
semanticscholar +2 more sources
Ontology-based surgical workflow recognition and prediction
Journal of Biomedical Informatics, 2022 Surgical context-aware systems can adapt to the current situation in the operating room and thus provide computer-aided assistance functionalities and intraoperative decision-support. To interact with the surgical team perceptively and assist the surgical process, the system needs to monitor the intraoperative activities, understand the current ...
Juliane Neumann +6 more
semanticscholar +4 more sources
Automatic Assessment of Procedural Skills Based on the Surgical Workflow Analysis Derived from Speech and Video [PDF]
Bioengineering (Basel), 2022 Automatic surgical workflow analysis (SWA) plays an important role in the modelling of surgical processes. Current automatic approaches for SWA use videos (with accuracies varying from 0.8 and 0.9), but they do not incorporate speech (inherently linked ...
C. Guzmán-García +3 more
semanticscholar +2 more sources
Reducing prediction volatility in the surgical workflow recognition of endoscopic pituitary surgery [PDF]
Int J Comput Assist Radiol Surg, 2022 Workflow recognition can aid surgeons before an operation when used as a training tool, during an operation by increasing operating room efficiency, and after an operation in the completion of operation notes.
Adrito Das +5 more
semanticscholar +2 more sources
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction [PDF]
arXivGraph-based holistic scene representations facilitate surgical workflow understanding and have recently demonstrated significant success. However, this task is often hindered by the limited availability of densely annotated surgical scene data. In this work, we introduce an end-to-end framework for the generation and optimization of surgical scene ...
cCaughan Koksal +4 more
arxiv +4 more sources