# Can Deep Learning Algorithms Help Identify Surgical Workflow and Techniques?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-deep-learning-algorithms-help-identify-surgical-workflow-and-techniques/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hossein Mohamadipanah,LaDonna Kearse,Anna Witt,Brett Wise,Su Yang,Cassidi Goll,Carla M. Pugh |
| Citations | 12 |
| DOI | 10.1016/j.jss.2021.07.003 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3195364067 |
| PMID | 34399354 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Hossein Mohamadipanah](https://scholariq.org/researchers/hossein-mohamadipanah/)

## Paper journal

- [Journal of Surgical Research](https://scholariq.org/journals/journal-of-surgical-research/)

## 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/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Simulation-Based Education in Healthcare](https://scholariq.org/topics/simulation-based-education-in-healthcare/)

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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.