ArticleInternational journal of computer assisted radiology and surgery2018
Surgical skills: Can learning curves be computed from recordings of surgical activities?
Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding the learning curve in robotic-assisted cardiac surgery and its application on curriculum development - systematic narrative review.Journal of robotic surgery · 2026Pooled it
- Global trends in learning curves of robot-assisted urological surgery: a bibliometric analysis of surgical safety and functional recovery.Journal of robotic surgery · 2026Review
- Quantitative Assessment of Cannula Kinematics in Liposuction Surgical Procedures Using a Marker-Based Tracking System.Annals of biomedical engineering · 2026Article
- Automated assessment of simulated laparoscopic surgical skill performance using deep learning.Scientific reports · 2025Article
- An explainable machine learning method for assessing surgical skill in liposuction surgery.International journal of computer assisted radiology and surgery · 2022Article
- Generic surgical process model for minimally invasive liver treatment methods.Scientific reports · 2022Article
- Clinical study of skill assessment based on time sequential measurement changes.Scientific reports · 2022Article
- Computer vision coaching microsurgical laboratory training: PRIME (Proficiency Index in Microsurgical Education) proof of concept.Neurosurgical review · 2022Article
- Movement-level process modeling of microsurgical bimanual and unimanual tasks.International journal of computer assisted radiology and surgery · 2022Article
- The measurement, evolution, and neural representation of action grammars of human behavior.Scientific reports · 2021Article
- Automatic annotation of surgical activities using virtual reality environments.International journal of computer assisted radiology and surgery · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeSurgery is one of the riskiest and most important medical acts that are performed today. The need to improve patient outcomes and surgeon training, and to reduce the costs of surgery, has motivated the equipment of operating rooms with sensors that record surgical interventions. The richness and complexity of the data that are collected call for new methods to support computer-assisted surgery. The aim of this paper is to support the monitoring of junior surgeons learning their surgical skill sets.
methodsOur method is fully automatic and takes as input a series of surgical interventions each represented by a low-level recording of all activities performed by the surgeon during the intervention (e.g., cut the skin with a scalpel). Our method produces a curve describing the process of standardization of the behavior of junior surgeons. Given the fact that junior surgeons receive constant feedback from senior surgeons during surgery, these curves can be directly interpreted as learning curves.
resultsOur method is assessed using the behavior of a junior surgeon in anterior cervical discectomy and fusion surgery over his first three years after residency. They revealed the ability of the method to accurately represent the surgical skill evolution. We also showed that the learning curves can be computed by phases allowing a finer evaluation of the skill progression.
conclusionPreliminary results suggest that our approach constitutes a useful addition to surgical training monitoring.
Indexed as
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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.