# Use of surgical video–based automated performance metrics to predict blood loss and success of simulated vascular injury control in neurosurgery: a pilot study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/use-of-surgical-video-based-automated-performance-metrics-to-predict-blood-loss/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dhiraj J. Pangal,Guillaume Kugener,Tyler Cardinal,Elizabeth Lechtholz-Zey,Casey Collet,Sasha Lasky,Shivani Sundaram,Yichao Zhu,Arman Roshannai,Justin Chan,Aditya Sinha,Andrew J. Hung,Animashree Anandkumar,Gabriel Zada,Daniel A. Donoho |
| Citations | 13 |
| DOI | 10.3171/2021.10.jns211064 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://thejns.org/downloadpdf/journals/j-neurosurg/137/3/article-p840.pdf |
| OpenAlex ID | https://openalex.org/W4205112142 |
| PMID | 34972086 |
| Type | article |
| Year | 2022 |

## Paper journal

- [Journal of neurosurgery](https://scholariq.org/journals/journal-of-neurosurgery/)

## 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/)
- [Soft Robotics and Applications](https://scholariq.org/topics/soft-robotics-and-applications/)

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