Minimally invasive robotically assisted repair of atrial perforation from a pacemaker lead
Bibliographic record
Abstract
BACKGROUND: We present the first reported case of robotic-assisted right atrial perforation repair and pacemaker lead extraction. METHODS: A 75-year-old female with symptomatic sinus node dysfunction underwent atrial single chamber permanent pacemaker insertion via a persistent left superior vena cava approach. At one week follow-up a chest radiograph and a computerized dynamic tomography demonstrated that the right atrial lead had perforated the right atrial free wall. The patient remained asymptomatic without signs of pericardial tamponade, however urgent repair was warranted. RESULTS: Utilizing the da Vinci robotic system (Intuitive Surgical Inc., Sunnyvale, California, USA), the pacer lead perforation was visualized, the lead retracted, and the right atrium repaired. The existing atrial lead was repositioned in the right atrial appendage. CONCLUSION: The patient's postoperative convalescence was uneventful, and she was discharged home on the third post-operative day. This case demonstrates the increasing clinical utilization of robotic-assisted technology in minimally invasive cardiac surgery.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".