# Video-based fully automatic assessment of open surgery suturing skills

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/video-based-fully-automatic-assessment-of-open-surgery-suturing-skills-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adam Goldbraikh,Anne-Lise D. D’Angelo,Carla M. Pugh,Shlomi Laufer |
| Citations | 0 |
| DOI | 10.48550/arxiv.2110.13972 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2110.13972 |
| OpenAlex ID | https://openalex.org/W4286894195 |
| Type | preprint |
| Year | 2021 |

## Paper authors

- [Adam Goldbraikh](https://scholariq.org/researchers/adam-goldbraikh/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Paper topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Simulation-Based Education in Healthcare](https://scholariq.org/topics/simulation-based-education-in-healthcare/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.