Results 1 to 10 of about 100,663 (270)

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, Ryuhei Sakurai, Hirotake Yamazoe, Joo-Ho Lee   +3 more
doaj   +5 more sources

Automatic Assessment of Procedural Skills Based on the Surgical Workflow Analysis Derived from Speech and Video [PDF]

Bioengineering, 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 ...
Carmen Guzmán-García, Patricia Sánchez-González, Ignacio Oropesa, Enrique J. Gómez   +3 more
doaj   +5 more sources

Text-driven adaptation of foundation models for few-shot surgical workflow analysis. [PDF]

Int J Comput Assist Radiol Surg
Abstract 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.
Chen T, Yuan K, Srivastav V, Navab N, Padoy N.   +4 more
europepmc   +5 more sources

Integrating Process Mining and Machine Learning for Surgical Workflow Optimization: A Real-World Analysis Using the MOVER EHR Dataset

Applied Sciences
The digitization of healthcare has enabled the application of advanced analytics, such as process mining and machine learning, to electronic health records (EHRs).
Ufuk Celik, Adem Korkmaz, Ivaylo Stoyanov   +2 more
doaj   +2 more sources

Speech-Based Surgical Phase Recognition for Non-Intrusive Surgical Skills’ Assessment in Educational Contexts

Sensors, 2021
Surgeons’ procedural skills and intraoperative decision making are key elements of clinical practice. However, the objective assessment of these skills remains a challenge to this day.
Carmen Guzmán-García, Marcos Gómez-Tome, Patricia Sánchez-González, Ignacio Oropesa, Enrique J. Gómez   +4 more
doaj   +1 more source

Data Warehousing Technology for Surgical Workflow Analysis [PDF]

2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
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, Burgert, Oliver, Mansmann, Svetlana, Scholl, Marc H.   +3 more
openaire   +2 more sources

Technical Pearls to Effectively Use 5-ALA in Fluorescence-Guided Tumor Resection—5 Lessons from the Operating Room

Brain Sciences, 2023
Background: Since its introduction in 2007 in Europe and in 2017 in the United States, 5-ALA has demonstrated an undisputed advantage in providing real-time tumor visualization.
Giuseppe Maria Della Pepa, Grazia Menna, Alessandro Olivi   +2 more
doaj   +1 more source

A comparison between a maximum care university hospital and an outpatient clinic – potential for optimization in arthroscopic workflows?

BMC Health Services Research, 2023
Background Due to the growing economic pressure, there is an increasing interest in the optimization of operational processes within surgical operating rooms (ORs).
Martin Schenk, Juliane Neumann, Nadine Adler, Tilo Trommer, Jan Theopold, Thomas Neumuth, Pierre Hepp   +6 more
doaj   +1 more source

Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis

International Journal of Computer Assisted Radiology and Surgery, 2022
Real-time surgical workflow analysis has been a key component for computer-assisted intervention system to improve cognitive assistance. Most existing methods solely rely on conventional temporal models and encode features with a successive spatial-temporal arrangement.
Jin, Yueming, Long, Yonghao, Gao, Xiaojie, Stoyanov, Danail, Dou, Qi, Pheng-Ann, Heng   +5 more
openaire   +3 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 ...
Kubilay Can Demir, Hannah Schieber, Tobias Weise, Daniel Roth, Matthias May, Andreas Maier, Seung Hee Yang   +6 more
openaire   +3 more sources