Towards Graph Representation Learning Based Surgical Workflow Anticipation [PDF]
arXiv, 2022 Surgical workflow anticipation can give predictions on what steps to conduct or what instruments to use next, which is an essential part of the computer-assisted intervention system for surgery, e.g. workflow reasoning in robotic surgery. However, current approaches are limited to their insufficient expressive power for relationships between ...
Xiatian Zhang +2 more
arxiv +3 more sources
MURPHY: Relations Matter in Surgical Workflow Analysis [PDF]
arXiv, 2022 Autonomous robotic surgery has advanced significantly based on analysis of visual and temporal cues in surgical workflow, but relational cues from domain knowledge remain under investigation. Complex relations in surgical annotations can be divided into intra- and inter-relations, both valuable to autonomous systems to comprehend surgical workflows ...
Shang Zhao +5 more
arxiv +3 more sources
Augmented Reality to Improve Surgical Workflow in Minimally Invasive Transforaminal Lumbar Interbody Fusion – A Feasibility Study With Case Series [PDF]
Neurospine, 2022 Objective Minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) is a highly reproducible procedure for the fusion of spinal segments. We recently introduced the concept of “total navigation” to improve workflow and eliminate fluoroscopy ...
Fabian Sommer +9 more
doaj +3 more sources
Surgical workflow simulation for the design and assessment of operating room setups in orthopedic surgery [PDF]
BMC Medical Informatics and Decision Making, 2020 Background The design and internal layout of modern operating rooms (OR) are influencing the surgical team’s collaboration and communication, ergonomics, as well as intraoperative hygiene substantially.
Juliane Neumann +6 more
doaj +3 more sources
Convolutional-de-convolutional neural networks for recognition of surgical workflow [PDF]
Frontiers in Computational Neuroscience, 2022 Computer-assisted surgery (CAS) has occupied an important position in modern surgery, further stimulating the progress of methodology and technology.
Yu-wen Chen +4 more
doaj +2 more sources
Dynamic Scene Graph Representation for Surgical Video [PDF]
arXiv, 2023 Surgical videos captured from microscopic or endoscopic imaging devices are rich but complex sources of information, depicting different tools and anatomical structures utilized during an extended amount of time. Despite containing crucial workflow information and being commonly recorded in many procedures, usage of surgical videos for automated ...
Czempiel, Tobias +5 more
arxiv +2 more sources
Challenges in implementing a digital pathology workflow in surgical pathology
Human Pathology Reports, 2022 The rate of digital pathology adoption had been slow until the COVID-19 pandemic served as catalyst, demonstrating the possibilities of saving time and money by converting glass slides into whole slide images (WSI) and thus making them available to all ...
Giovani Lujan, Zaibo Li, Anil V. Parwani
doaj +2 more sources
SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation [PDF]
arXivWhile existing approaches excel at recognising current surgical phases, they provide limited foresight and intraoperative guidance into future procedural steps. Similarly, current anticipation methods are constrained to predicting short-term and singular events, neglecting the dense and sequential nature of surgical workflows.
Maxence Boels +4 more
arxiv +3 more sources
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement [PDF]
arXivSurgical workflow recognition is vital for automating tasks, supporting decision-making, and training novice surgeons, ultimately improving patient safety and standardizing procedures. However, data corruption can lead to performance degradation due to issues like occlusion from bleeding or smoke in surgical scenes and problems with data storage and ...
Long Bai +10 more
arxiv +2 more sources
DeepPhase: Surgical Phase Recognition in CATARACTS Videos [PDF]
arXiv, 2018 Automated surgical workflow analysis and understanding can assist surgeons to standardize procedures and enhance post-surgical assessment and indexing, as well as, interventional monitoring. Computer-assisted interventional (CAI) systems based on video can perform workflow estimation through surgical instruments' recognition while linking them to an ...
Chow, Andre +6 more
arxiv +4 more sources