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MIcro-surgical anastomose workflow recognition challenge report

Computer Methods and Programs in Biomedicine, 2021
International audienceBACKGROUND AND OBJECTIVE: Automatic surgical workflow recognition is an essential step in developing context-aware computer-assisted surgical systems.
Pablo Arbelaez, Kanako Harada, Chin-Boon Chng   +2 more
exaly   +2 more sources

Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition

IEEE Journal of Biomedical and Health Informatics, 2023
In the last two decades, there has been a growing interest in exploring surgical procedures with statistical models to analyze operations at different semantic levels. This information is necessary for developing context-aware intelligent systems, which can assist the physicians during operations, evaluate procedures afterward or help the management ...
Daniel Roth, Matthias Stefan May, Andreas Maier   +2 more
exaly   +5 more sources

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Cascade Multi-Level Transformer Network for Surgical Workflow Analysis

IEEE Transactions on Medical Imaging, 2023
Surgical workflow analysis aims to recognise surgical phases from untrimmed surgical videos. It is an integral component for enabling context-aware computer-aided surgical operating systems. Many deep learning-based methods have been developed for this task.
Wenxi Yue, Hongen Liao, Yong Xia 0001, Vincent Lam, Jiebo Luo 0001, Zhiyong Wang 0001   +5 more
openaire   +3 more sources

The compatibility of exoskeletons in perioperative environments and workflows: an analysis of surgical team members’ perspectives and workflow simulation

Ergonomics, 2023
Surgical team members in perioperative environments experience high physical demands. Interventions such as exoskeletons, external wearable devices that support users, have the potential to reduce these work-related physical demands. However, barriers such as workplace environment and task compatibility may limit exoskeleton implementation.
Alec, Gonzales, Dechristian França, Barbieri, Alfredo M, Carbonell, Anjali, Joseph, Divya, Srinivasan, Jackie, Cha   +5 more
openaire   +2 more sources

Deep Learning in Surgical Workflow Analysis: A review

2022
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible Objective : In the last two decades, there has been a growing interest in exploring surgical procedures with statistical models to ...
Kubilay Can Demir, Hannah Schieber, Daniel Roth, Andreas Maier, Seung Hee Yang, Tobias Weise   +5 more
openaire   +1 more source

Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends

Artificial Intelligence Review
Zijian Zhao
exaly   +2 more sources

“Deep-Onto” network for surgical workflow and context recognition [PDF]

International Journal of Computer Assisted Radiology and Surgery, 2018
Purpose: Surgical workflow recognition and context-aware systems could allow better decision making and surgical planning by providing the focused information, which may eventually enhance surgical outcomes.
Roberto Bianchi, Giancarlo Ferrigno, Hirenkumar Nakawala   +2 more
exaly   +2 more sources

Surgical Workflow Analysis: An Explainable Approach

2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Surgical workflow analysis optimizes efficiency, resource use, and patient safety in catheterization labs. Traditional manual methods are labour-intensive and inconsistent, driving the need for automated solutions that utilize machine learning and computer vision. This thesis introduces an explainable two-stage model for workflow analysis using ceiling-
Christos, Spiliadis, Yiheng, Chang, Justin, Dauwels, Chavdar, Bachvarov, John J, van Den Dobbelsteen, Benno H W, Hendriks, Maarten, Van der Elst, Markku, Eskola   +7 more
openaire   +2 more sources

Random Forests for Phase Detection in Surgical Workflow Analysis

2014
Identifying and recognizing the workflow of surgical interventions is a field of growing interest. Several methods have been developed to identify intra-operative activities, detect common phases in the surgical workflow and combine the gained knowledge into Surgical Process Models.
Ralf Stauder, Asli Okur, Loïc Peter, Armin Schneider, Michael Kranzfelder, Hubertus Feußner, Nassir Navab   +6 more
openaire   +1 more source

Online time and resource management based on surgical workflow time series analysis

International Journal of Computer Assisted Radiology and Surgery, 2016
Hospitals' effectiveness and efficiency can be enhanced by automating the resource and time management of the most cost-intensive unit in the hospital: the operating room (OR). The key elements required for the ideal organization of hospital staff and technical resources (such as instruments in the OR) are an exact online forecast of both the surgeon's
Marianne Maktabi, Thomas Neumuth
openaire   +3 more sources