# A Standardized Temporal Segmentation Framework and Annotation Resource Library in Robotic Surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-standardized-temporal-segmentation-framework-and-annotation-resource-library/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Busisiwe Mlambo,Mallory Shields,Simon P. Bach,Armin Bauer,Andrew J. Hung,Omar Yusef Kudsi,Felix Neis,John F. Lazar,Daniel Oh,Robert X. Perez,Seth A. Rosen,Naeem Soomro,Michael Stany,Mark Tousignant,Christian von Wagner,Ken Whaler,Lilia Purvis,Benjamin Mueller,Sadia Yousaf,Casey Troxler,Alfred Song,Emily Summers,Kiran Bhattacharyya,Anthony Jarc |
| Citations | 8 |
| DOI | 10.1016/j.mcpdig.2025.100257 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mcpdigitalhealth.org/article/S2949-7612(25)00064-1/pdf |
| OpenAlex ID | https://openalex.org/W4413450113 |
| PMID | 41050187 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Mallory Shields](https://scholariq.org/researchers/mallory-shields/)

## Paper journal

- [Mayo Clinic Proceedings Digital Health](https://scholariq.org/journals/mayo-clinic-proceedings-digital-health/)

## 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/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-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.