Cargando…
Simulation for skills training in neurosurgery: a systematic review, meta-analysis, and analysis of progressive scholarly acceptance
At a time of significant global unrest and uncertainty surrounding how the delivery of clinical training will unfold over the coming years, we offer a systematic review, meta-analysis, and bibliometric analysis of global studies showing the crucial role simulation will play in training. Our aim was...
Autores principales: | Davids, Joseph, Manivannan, Susruta, Darzi, Ara, Giannarou, Stamatia, Ashrafian, Hutan, Marcus, Hani J |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338820/ https://www.ncbi.nlm.nih.gov/pubmed/32944808 http://dx.doi.org/10.1007/s10143-020-01378-0 |
Ejemplares similares
-
Multimodal mixed reality visualisation for intraoperative surgical guidance
por: Cartucho, João, et al.
Publicado: (2020) -
Virtual interview training for neurosurgery applicants
por: Manivannan, Susruta, et al.
Publicado: (2022) -
Vision-based deformation recovery for intraoperative force estimation of tool–tissue interaction for neurosurgery
por: Giannarou, Stamatia, et al.
Publicado: (2016) -
Breaking Bad News Training in the COVID-19 Era and Beyond
por: Soosaipillai, Gehan, et al.
Publicado: (2020) -
Transforming health policy through machine learning
por: Ashrafian, Hutan, et al.
Publicado: (2018)