Side-Eye: A Novel Side-Looking Catheter for Fenestrated Endovascular Aneurysm Repair Procedures
Bibliographic record
Abstract
Abdominal aortic aneurysms (AAAs) are the 15th leading cause of death in the United States, with approximately 200,000 people diagnosed each year. Fenestrated endovascular aortic repair (FEVAR) is a commonly used procedure to treat AAAs, but it can be technically challenging in cases of complex anatomy. These challenges, including difficulty with target vessel cannulation, prolonged procedure times, and long fluoroscopic exposure times, can negatively impact patient outcomes. This thesis presents the design, development, and performance evaluation of a novel steerable catheter, called the SideEye, that directly addresses the limitations of conventional devices used in these procedures. In a thoracoabdominal aortic aneurysm (TAAA) phantom model, the SideEye was found to significantly outperform conventional non-steerable and steerable catheters in terms of target vessel cannulation by reducing procedure time and exposure time. These findings suggest that the SideEye could be a valuable addition to the devices available to interventionalists in FEVAR procedures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".