A Concept for a Novel Procedure for Mitral Valve Repair by Percutaneous Annuloplasty
Bibliographic record
Abstract
Mitral valve regurgitation [1] (MVR) is a functional heart disease in which the valve does not close completely and causes blood to leak back into the left atrium. This condition increases the workload on the heart, and if left untreated, can lead to irreversible heart damage, cardiac arrhythmia, and congestive heart failure. Annually, in the United States, more than 50 000 patients undergo mitral valve repair. The causes of MR can be either primary, due to an anatomical change of the valve apparatus, or secondary to ischemic heart disease and idiopathic cardiomyopathy. Currently, the intervention requires an open heart surgery with cardiopulmonary bypass. Under such conditions, the patient is subjected to intra and post-operative trauma that can result in a mortality increase and that can prevent high risk individuals from undergoing the repair. A non-invasive percutaneous method would greatly reduce risks associated with a conventional surgery while increasing the potential candidates for repair. Introduced in this paper is a concept for a novel procedure that relies on a robotically-guided compliant catheter, fitted with an anchoring mechanism, intended to reshape the mitral-valve annulus to dimensions suitable for the effective support of the valve leaflets.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".