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When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins
US & West ·
This paper shows that apparent calibration improvements in cardiac digital twins may be artifacts of measurement conventions. Comparison of four models on a shared backbone revealed that CAMUS bias removal is explained by a +6.30 point difference between single-plane and biplane ejection fraction measurements, not by actual improvement. Replicating EchoNet-Dynamic with extractor aligned to the apical four-chamber plane removed overestimation and reversed the ranking.
Why it matters
Highlights the importance of rigorous validation and consideration of measurement conventions when evaluating models, which is critical for the reliability of digital twins in medical and industrial applications.
Original headline
When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins
Analysts discuss that building a digital twin of Mercury Systems' operations using Palantir technologies could improve transparency and management efficiency, potentially enhancing the company's investment appeal.
The Twin system builds an executable world model at test time for continual learning tasks like ARC-AGI-3 games. The model is constructed from simulation and interaction alone, without hand-engineering. Actions are validated in a twin world model, and mismatches are used to repair the model.
An SGWO-IM algorithm is proposed for calibrating material parameters in ray-tracing used for 6G digital twin channels. It combines Grey Wolf Optimizer with individual memory and an online surrogate model for candidate pre-screening, reducing computational cost and improving accuracy.