===== 🎯 Accuracy =====

**Accuracy** is the degree to which a **measured or executed result** matches the **true or intended value**. In neurosurgical practice, it refers to the spatial closeness between a **planned target** and the **actual result** achieved during surgery or imaging.

==== ✅ Examples in Neurosurgery ====
  * Distance between planned and implanted DBS electrode
  * Alignment of image-guided biopsy needle to lesion center
  * Registration error in neuronavigation systems

==== 📊 Common Accuracy Metrics ====
^ Metric                      ^ Description                                                             ^
| **Euclidean distance**       | 3D distance from planned to actual coordinates                          |
| **Radial error**             | Lateral deviation from the target (common in stereotaxy)                |
| **Targeting error (mm)**     | Average deviation from planned trajectory                               |
| **% within tolerance**       | Percentage of cases within acceptable error margin (e.g., <2 mm)        |

==== ⚠️ Accuracy vs. Precision ====
  * **Accuracy** = How close to the target
  * **Precision** = How consistent multiple measurements are

> Example: A robot that hits 3 mm off the target every time is **precise but not accurate**.