Hand Motion Analysis Using the Imperial College Surgical Assessment Device
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The Imperial College Surgical Assessment Device (ICSAD) has been validated in various settings as an objective tool to measure technical performance. We sought to establish (1) the construct validity of the ICSAD as an assessment tool in ultrasound-guided supraclavicular block by determining its ability to discriminate between operators of different experience level and (2) the concurrent validity of the ICSAD by correlating it with a task-specific checklist and a global rating scale. METHODS: We compared 30 performances of ultrasound-guided supraclavicular block by junior residents with 30 performances by highly experienced consultant anesthesiologists. We also studied 10 anesthesiologists undertaking a 1-year regional anesthesia fellowship and compared a performance in their first month to one in their last 3 months. We used the ICSAD to measure 3 dexterity parameters during the scanning and needling phases of each block: time taken, number of movements, and path length traveled by each hand. Two blinded expert observers evaluated video recordings of each block using a 30-item task-specific checklist and a 7-item global rating scale. RESULTS: Consultants (experts) performed significantly better than residents (novices) on all ICSAD parameters in both scanning and needling phases. Fellows demonstrated improvement in all ICSAD parameters between their early and late performance, reflecting their transition from novice to expert. The task-specific checklist and global rating scale were also highly discriminating between novice and expert performances. There was excellent correlation between all 3 measurement tools, thereby establishing their concurrent validity. CONCLUSIONS: The ICSAD is both valid and useful in assessing performance of ultrasound-guided supraclavicular block.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it