ArticleInternational journal of computer assisted radiology and surgery2022
Video-based fully automatic assessment of open surgery suturing skills.
Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Development of an Artificial Intelligence Platform for Surgical Tool Detection and Phase Recognition in Laparoscopic Distal Gastrectomy.Journal of gastric cancer · 2026Article
- Assessment of open surgery suturing skills via markerless hand tracking: a multistage approach using 3D hand skeleton and kinematic metrics.International journal of computer assisted radiology and surgery · 2026Article
- Ghost in the Machine: Leveraging artificial intelligence in the trauma bay.Trauma surgery & acute care open · 2026Review
- Enhancing YOLO for laparoscopic tool detection: novel data augmentation and structural modifications addressing mis-detection of bifurcated targets.International journal of computer assisted radiology and surgery · 2025Article
- Feasibility of video-based skill assessment for percutaneous nephrostomy training in Senegal.Healthcare technology letters · 2024Article
- Metaverse-based simulation: a scoping review of charting medical education over the last two decades in the lens of the 'marvelous medical education machine'.Annals of medicine · 2024Article
- MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics.Pattern recognition · 2024Article
- An analysis on the effect of body tissues and surgical tools on workflow recognition in first person surgical videos.International journal of computer assisted radiology and surgery · 2024Article
- Effectiveness of video-based teaching in surgery residents: A randomized control trial.Pakistan journal of medical sciences · 2024Article
- Depth over RGB: automatic evaluation of open surgery skills using depth camera.International journal of computer assisted radiology and surgery · 2024Article
- AIxSuture: vision-based assessment of open suturing skills.International journal of computer assisted radiology and surgery · 2024Article
- Analyzing Surgical Technique in Diverse Open Surgical Videos With Multitask Machine Learning.JAMA surgery · 2024Observational
- Automatic performance evaluation of the intracorporeal suture exercise.International journal of computer assisted radiology and surgery · 2024Article
- Video-based formative and summative assessment of surgical tasks using deep learning.Scientific reports · 2023Article
- Computer vision in surgery: from potential to clinical value.NPJ digital medicine · 2022Review
- Open surgery tool classification and hand utilization using a multi-camera system.International journal of computer assisted radiology and surgery · 2022Article
- Using open surgery simulation kinematic data for tool and gesture recognition.International journal of computer assisted radiology and surgery · 2022Article
- Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeThe goal of this study was to develop a new reliable open surgery suturing simulation system for training medical students in situations where resources are limited or in the domestic setup. Namely, we developed an algorithm for tools and hands localization as well as identifying the interactions between them based on simple webcam video data, calculating motion metrics for assessment of surgical skill.
methodsTwenty-five participants performed multiple suturing tasks using our simulator. The YOLO network was modified to a multi-task network for the purpose of tool localization and tool-hand interaction detection. This was accomplished by splitting the YOLO detection heads so that they supported both tasks with minimal addition to computer run-time. Furthermore, based on the outcome of the system, motion metrics were calculated. These metrics included traditional metrics such as time and path length as well as new metrics assessing the technique participants use for holding the tools.
resultsThe dual-task network performance was similar to that of two networks, while computational load was only slightly bigger than one network. In addition, the motion metrics showed significant differences between experts and novices.
conclusionWhile video capture is an essential part of minimal invasive surgery, it is not an integral component of open surgery. Thus, new algorithms, focusing on the unique challenges open surgery videos present, are required. In this study, a dual-task network was developed to solve both a localization task and a hand-tool interaction task. The dual network may be easily expanded to a multi-task network, which may be useful for images with multiple layers and for evaluating the interaction between these different layers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.