# Natural language processing for automated detection of incidental durotomy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/natural-language-processing-for-automated-detection-of-incidental-durotomy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aditya V. Karhade,Michiel E. R. Bongers,Olivier Q. Groot,Erick R. Kazarian,Thomas D. Cha,Harold A. Fogel,Stuart H. Hershman,Daniel G. Tobert,Andrew J. Schoenfeld,Christopher M. Bono,James D. Kang,Mitchel B. Harris,Joseph H. Schwab |
| Citations | 68 |
| DOI | 10.1016/j.spinee.2019.12.006 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2996347561 |
| PMID | 31877390 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Daniel G. Tobert](https://scholariq.org/researchers/daniel-g-tobert/)

## Paper journal

- [The Spine Journal](https://scholariq.org/journals/the-spine-journal/)

## Paper primary topic

- [Digital Imaging in Medicine](https://scholariq.org/topics/digital-imaging-in-medicine/)

## Paper topics

- [Digital Imaging in Medicine](https://scholariq.org/topics/digital-imaging-in-medicine/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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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.