Name
Abstract | ||
|---|---|---|
We developed and validated measures which reliably discriminate proficiency levels. These measures are integrated into a training course, which quantitatively improves trainee performance. The proposed training course can be used to improve trainees' proficiency, and the quantitative measures allow trainees' progress to be monitored. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11548-018-1753-3 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Deep brain stimulation,Objective skill assessment,Simulation-based training | Deep brain stimulation,Patient safety,Medical physics,Neurosurgery,Radiology,Medicine | Journal |
Volume | Issue | ISSN |
13 | 7 | 1861-6410 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| matthew s holden | 1 | 3 | 2.47 |
| Yulong Zhao | 2 | 8 | 8.77 |
| Claire Haegelen | 3 | 116 | 12.01 |
| Caroline Essert | 4 | 58 | 7.15 |
| Sara Fernández-Vidal | 5 | 0 | 0.34 |
| Eric Bardinet | 6 | 441 | 45.55 |
| Tamas Ungi | 7 | 101 | 32.84 |
| Gabor Fichtinger | 8 | 1107 | 168.68 |
| Pierre Jannin | 9 | 644 | 58.36 |