Evaluation of deep learning models for identifying surgical actions and measuring performance
Importance When evaluating surgeons in the operating room, experienced physicians must
rely on live or recorded video to assess the surgeon's technical performance, an approach …
rely on live or recorded video to assess the surgeon's technical performance, an approach …
Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery
Z Wang, A Majewicz Fey - … journal of computer assisted radiology and …, 2018 - Springer
Purpose With the advent of robot-assisted surgery, the role of data-driven approaches to
integrate statistics and machine learning is growing rapidly with prominent interests in …
integrate statistics and machine learning is growing rapidly with prominent interests in …
Deep neural networks for the assessment of surgical skills: A systematic review
Surgical training in medical school residency programs has followed the apprenticeship
model. The learning and assessment process is inherently subjective and time-consuming …
model. The learning and assessment process is inherently subjective and time-consuming …
Development and validation of a 3-dimensional convolutional neural network for automatic surgical skill assessment based on spatiotemporal video analysis
D Kitaguchi, N Takeshita, H Matsuzaki, T Igaki… - JAMA network …, 2021 - jamanetwork.com
Importance A high level of surgical skill is essential to prevent intraoperative problems. One
important aspect of surgical education is surgical skill assessment, with pertinent feedback …
important aspect of surgical education is surgical skill assessment, with pertinent feedback …
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Purpose Manual feedback from senior surgeons observing less experienced trainees is a
laborious task that is very expensive, time-consuming and prone to subjectivity. With the …
laborious task that is very expensive, time-consuming and prone to subjectivity. With the …
Video-based surgical skill assessment using 3D convolutional neural networks
Purpose A profound education of novice surgeons is crucial to ensure that surgical
interventions are effective and safe. One important aspect is the teaching of technical skills …
interventions are effective and safe. One important aspect is the teaching of technical skills …
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
How well a surgery is performed impacts a patient's outcomes; however, objective
quantification of performance remains an unsolved challenge. Deconstructing a procedure …
quantification of performance remains an unsolved challenge. Deconstructing a procedure …
Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis
Background In the past decade, deep learning has revolutionized medical image
processing. This technique may advance laparoscopic surgery. Study objective was to …
processing. This technique may advance laparoscopic surgery. Study objective was to …
Automation of surgical skill assessment using a three-stage machine learning algorithm
Surgical skills are associated with clinical outcomes. To improve surgical skills and thereby
reduce adverse outcomes, continuous surgical training and feedback is required. Currently …
reduce adverse outcomes, continuous surgical training and feedback is required. Currently …
Computer vision in surgery
The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …
advancements in the past decade, many of which have been applied to the analysis of …