Results 41 to 50 of about 2,371,896 (336)
MIcro-surgical anastomose workflow recognition challenge report [PDF]
The "MIcro-Surgical Anastomose Workflow recognition on training sessions" (MISAW) challenge provided a data set of 27 sequences of micro-surgical anastomosis on artificial blood vessels. This data set was composed of videos, kinematics, and workflow annotations described at three different granularity levels: phase, step, and activity. The participants
Arnaud Huaulmé+14 more
openalex +8 more sources
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Objective: 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.
Kubilay Can Demir+6 more
semanticscholar +1 more source
Digital standardization in liver surgery through a surgical workflow management system: A pilot randomized controlled trial [PDF]
Fabian Haak+7 more
openalex +2 more sources
Text-driven adaptation of foundation models for few-shot surgical workflow analysis [PDF]
PURPOSE Surgical workflow analysis is crucial for improving surgical efficiency and safety. However, previous studies rely heavily on large-scale annotated datasets, posing challenges in cost, scalability, and reliance on expert annotations.
T. Chen+4 more
semanticscholar +3 more sources
Modeling and Segmentation of Surgical Workflow from Laparoscopic Video [PDF]
Modeling and analyzing surgeries based on signals that are obtained automatically from the operating room (OR) is a field of recent interest. It can be valuable for analyzing and understanding surgical workflow, for skills evaluation and developing context-aware ORs.
Tobias Blum+2 more
openalex +3 more sources
Data Warehousing Technology for Surgical Workflow Analysis [PDF]
Analysis of surgical procedures is an emerging domain of medical engineering aimed at advancing surgical assist systems. The term Surgical Workflows is used for describing the methodical framework for acquiring formal descriptions of surgical interventions.
Neumuth, Thomas+3 more
openaire +3 more sources
Surgical phase recognition by learning phase transitions
Automatic recognition of surgical phases is an important component for developing an intra-operative context-aware system. Prior work in this area focuses on recognizing short-term tool usage patterns within surgical phases.
Sahu Manish+3 more
doaj +1 more source
Surgical Process Modeling for Open Spinal Surgeries
Modern operating rooms are becoming increasingly advanced thanks to the emerging medical technologies and cutting-edge surgical techniques. Current surgeries are transitioning into complex processes that involve information and actions from multiple ...
Fabio Carrillo+11 more
doaj +1 more source
Background Children commonly present at the emergency department with abdominal pain and it is challenging to identify urgent surgical conditions. An audit conducted at a tertiary children’s hospital showed that 70% of patients admitted to Department of ...
Lok Hui Lu+4 more
doaj +1 more source
Unsupervised identification of surgical robotic actions from small non homogeneous datasets [PDF]
Robot-assisted surgery is an established clinical practice. The automatic identification of surgical actions is needed for a range of applications, including performance assessment of trainees and surgical process modeling for autonomous execution and monitoring.
arxiv +1 more source