Review of automated performance metrics to assess surgical technical skills in robot-assisted laparoscopy
Introduction Robot-assisted laparoscopy is a safe surgical approach with several studies
suggesting correlations between complication rates and the surgeon's technical skills …
suggesting correlations between complication rates and the surgeon's technical skills …
A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video
Background Annotated data are foundational to applications of supervised machine
learning. However, there seems to be a lack of common language used in the field of …
learning. However, there seems to be a lack of common language used in the field of …
Micro-surgical anastomose workflow recognition challenge report
Abstract Background and Objective: Automatic surgical workflow recognition is an essential
step in develo** context-aware computer-assisted surgical systems. Video recordings of …
step in develo** context-aware computer-assisted surgical systems. Video recordings of …
Offline identification of surgical deviations in laparoscopic rectopexy
Objective According to a meta-analysis of 7 studies, the median number of patients with at
least one adverse event during the surgery is 14.4%, and a third of those adverse events …
least one adverse event during the surgery is 14.4%, and a third of those adverse events …
Peg transfer workflow recognition challenge report: Does multi-modal data improve recognition?
This paper presents the design and results of the" PEg TRAnsfert Workflow
recognition"(PETRAW) challenge whose objective was to develop surgical workflow …
recognition"(PETRAW) challenge whose objective was to develop surgical workflow …
VR and machine learning: novel pathways in surgical hands-on training
Machine learning and artificial intelligence are designed to analyse data and use them to
take decisions that typically require human intelligence. Evidence in literature is still scarce …
take decisions that typically require human intelligence. Evidence in literature is still scarce …
Virtual reality for medical annotation tasks: A systematic review
Virtual reality technologies are broadly used in medicine, including medical educational
tasks like surgery training. Annotations are an inseparable part of many medical research …
tasks like surgery training. Annotations are an inseparable part of many medical research …
Personalized assessment and training of neurosurgical skills in virtual reality: An interpretable machine learning approach
F Li, Z Qin, K Qian, S Liang, C Li, Y Tai - Virtual Reality & Intelligent …, 2024 - Elsevier
Background Virtual reality technology has been widely used in surgical simulators, providing
new opportunities for assessing and training surgical skills. Machine learning algorithms are …
new opportunities for assessing and training surgical skills. Machine learning algorithms are …
[HTML][HTML] Assessment of Automated Identification of Phases in Videos of Total Hip Arthroplasty Using Deep Learning Techniques
YJ Kang, SJ Kim, SH Seo, S Lee, HS Kim… - Clinics in Orthopedic …, 2024 - ncbi.nlm.nih.gov
Background As the population ages, the rates of hip diseases and fragility fractures are
increasing, making total hip arthroplasty (THA) one of the best methods for treating elderly …
increasing, making total hip arthroplasty (THA) one of the best methods for treating elderly …
State-of-the-art: a taxonomy of artificial intelligence-assisted robotics for medical therapies and applications
This paper presents a review on the development and major advances in artificial
intelligence-assisted robotics for medical therapeutic tasks by focusing on the current …
intelligence-assisted robotics for medical therapeutic tasks by focusing on the current …