Highlights of the Cardiovascular Magnetic Resonance 2024 Conference: the first joint European Association of Cardiovascular Imaging, European Society of Cardiovascular Radiology, and Society for Cardiovascular Magnetic Resonance conference
Bibliographic record
Abstract
Cardiovascular Magnetic Resonance 2024 Conference (CMR2024) convened in London, UK, from 24 to 26 January 2024 and brought together 2705 learners and renowned cardiac imaging professionals to discuss and learn about the latest advancements. Organized by the Society for Cardiovascular Magnetic Resonance (SCMR) and the European Association of Cardiovascular Imaging (EACVI), in collaboration with the European Society of Cardiovascular Radiology (ESCR), CMR2024 was the largest international cardiac magnetic resonance conference to date. This conference underscored the collaboration between cardiologists, radiologists, scientists, and technologists by bringing together three major societies-SCMR, EACVI, and ESCR. Innovative session formats like 'Shark Tank' and 'Workflow, Innovations & Patients' facilitated expert opinion and practical experiences sharing in a 'TED-talk style'. With over 1168 abstract submissions and 75% acceptance rate, the programme featured multiple Early Career Award sessions, oral scientific sessions, oral case sessions, and rapid-fire sessions, all categorized by topic. Highlights included patient- and physician-centred imaging sessions, sharing referring physicians' and patients' insights of incremental value of cardiovascular magnetic resonance (CMR) in patient's management. The programme offered invited lectures in eight parallel tracks with three plenary and two keynote speakers. In addition, the interactive workshops and panel discussions provided a platform for knowledge exchange, support, and collaboration. A great emphasis was placed on collaboration between radiologists, cardiologists, scientists, and technologists, showcasing an ideal cardiac imaging marriage as a model for enhanced patient care around the globe. The event also featured exhibitions of the latest CMR technology and software, offering attendees a glimpse into the future cardiac imaging. CMR2024 emerged as a remarkable scientific, educational, and networking event, inspiring attendees to learn and collaborate within the global CMR community.
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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 | 0.025 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.039 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".