Fiber photo-catheters for invasive and less invasive treatment of atrial fibrillation
Bibliographic record
Abstract
Atrial fibrillation (AF) is a heart rhythm abnormality that involves irregular, and often rapid, heartbeats. Recent studies demonstrate the feasibility of treating AF and other structural heart diseases with limited, left-atrial ablation lesion sets. These cardiac ablation procedures reduce the time required to perform the maze procedure surgery, and are less invasive. To produce long continuous transmural lesions, solid-state lasers and high power laser diodes, along with end emitting fiber optic catheters, have been used experimentally. These devices demonstrated promising results, but the absence of side emitting fiber flexible catheters to produce long continuous lesions limits the further development of this technology. In this research, a prototype energy delivery and control system located in a catheter, was demonstrated. The highlight of the proposed system is a flexible 10-cm fiber diffuser that can be used to make continuous photocoagulation lesions for effective maze procedure treatments. The system also includes: a flexible optical reflector; a distributed temperature sensor array for monitoring the temperature in the surrounding tissue; a series of openings for rapid self-attachment to the tissue (vacuum holder - gripper); and an optional closed-loop irrigating chamber with circulating coolant to cool the optical diffuser.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".