Computer vision in surgery: from potential to clinical value
Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
Analyzing surgical technique in diverse open surgical videos with multitask machine learning
ED Goodman, KK Patel, Y Zhang, W Locke… - JAMA …, 2024 - jamanetwork.com
Objective To overcome limitations of open surgery artificial intelligence (AI) models by
curating the largest collection of annotated videos and to leverage this AI-ready data set to …
curating the largest collection of annotated videos and to leverage this AI-ready data set to …
Surgical tool detection in open surgery videos
Detecting surgical tools is an essential task for analyzing and evaluating surgical videos.
However, most studies focus on minimally invasive surgery (MIS) and cataract surgery …
However, most studies focus on minimally invasive surgery (MIS) and cataract surgery …
Bounded future ms-tcn++ for surgical gesture recognition
In recent times there is a growing development of video-based applications for surgical
purposes. Part of these applications can work offline after the end of the procedure, other …
purposes. Part of these applications can work offline after the end of the procedure, other …
Video-based formative and summative assessment of surgical tasks using deep learning
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-
efficient, and preferentially automated—none of which is currently achievable. Video-based …
efficient, and preferentially automated—none of which is currently achievable. Video-based …
Using open surgery simulation kinematic data for tool and gesture recognition
Purpose The use of motion sensors is emerging as a means for measuring surgical
performance. Motion sensors are typically used for calculating performance metrics and …
performance. Motion sensors are typically used for calculating performance metrics and …
Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics
Objective This paper focuses on simulator-based assessment of open surgery suturing skill.
We introduce a new surgical simulator designed to collect synchronized force, motion, video …
We introduce a new surgical simulator designed to collect synchronized force, motion, video …
MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for action segmentation using sensor-augmented kinematics
Action segmentation is a challenging task in high-level process analysis, typically performed
on video or kinematic data obtained from various sensors. This work presents two …
on video or kinematic data obtained from various sensors. This work presents two …
Open surgery tool classification and hand utilization using a multi-camera system
Purpose The goal of this work is to use multi-camera video to classify open surgery tools as
well as identify which tool is held in each hand. Multi-camera systems help prevent …
well as identify which tool is held in each hand. Multi-camera systems help prevent …
Automatic performance evaluation of the intracorporeal suture exercise
L Halperin, G Sroka, I Zuckerman, S Laufer - International Journal of …, 2024 - Springer
Purpose This work uses deep learning algorithms to provide automated feedback on the
suture with intracorporeal knot exercise in the fundamentals of laparoscopic surgery …
suture with intracorporeal knot exercise in the fundamentals of laparoscopic surgery …