Imaging the adult with congenital heart disease: a multimodality imaging approach—position paper from the EACVI
Bibliographic record
Abstract
Advances in the diagnosis and management of congenital heart disease have led to a marked improvement in the survival of adult with congenital heart disease (ACHD) patients. However, ACHD patients are a heterogeneous population, with a large spectrum of anatomic substrates even within specific lesions. In addition, the nature of previous surgery and other intervention is highly variable rendering each patient unique and residual anatomic and haemodynamic abnormalities are very common. As the ACHD population continues to age, acquired heart disease will also require cardiac imaging assessment. It is increasingly recognized in ACHD community that the diagnostic utility of a multimodality cardiovascular approach is greater than the sum of individual tests. In ACHD patients, diagnostic information can be obtained using a variety of diagnostic tools. The aims of this document are to describe the role of each diagnostic modality in the care of ACHD patients and to provide guidelines for a multimodality approach. The goal should be to provide the most appropriate and cost-effective diagnostic pathway for each individual ACHD patient.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".