OUP accepted manuscript
Bibliographic record
Abstract
Since 1998, the Theo Rossi di Montelera (TRM) forum has brought together researchers working on computer modelling, experimental research, and clinical research, with the objective to facilitate the translation of research findings in computer modelling of the heart into the clinical field. The 8th TRM forum was held at Lugano, Switzerland, on 6–8 December 2015, organized by the TRM foundation and hosted by the Center for Computational Medicine in Cardiology in Lugano. The theme was ‘Towards Integration of Cardiac Functions’. In this forum, cardiac function was addressed from the perspectives of electrical cardiac function, mechanical cardiac function, and circulatory function. Electrical cardiac function is generally assessed clinically with a body-surface electrocardiogram (ECG). However, the ECG represents an integrative measure of whole heart electrical activity, from which it is sometimes challenging to derive information about local cardiac activity. Computer models can help us to derive better patient-specific knowledge from routine ECG and determine the underlying electrical activation sequence. An example was presented by Cardone-Noott et al. 1 with a multi-scale computational study on the role of ventricular endocardial activation sequences on QRS complex variations in both healthy hearts and in the presence of intraventricular block. This study provides physiological insights on ECG biomarkers in terms of QRS morphology and location of early endocardial activation sites. Van Dam et al. 2 presented a novel method to localize premature ventricular contractions on the papillary muscles using a 12-lead ECG together with cardiac anatomy and torso geometry derived from magnetic resonance imaging (MRI). The precise localization of the site of origin of premature ventricular contractions could facilitate the planning and execution of an ablation procedure. Saha et al. 3 developed a computer model of the atria and torso to study the changes in P wave morphology resulting from pulmonary vein (PV) ablation. Results were …
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".