What does this research mean for the field?

Computational cardiology and in silico organ-level simulations are at the threshold of clinical utility for risk stratification of sudden cardiac death, requiring a specific translational roadmap to achieve clinical integration. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

April 10, 2016The Journal of PhysiologyOpen Access

Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century

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Authors

AHAdam P. HillVictor Chang Cardiac Research Institute MPMatthew PerryVictor Chang Cardiac Research Institute NANajah Abi‐GergesAnaBios (United States)

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Implication

Warrants cautious exploration of in silico models for SCD risk stratification; leaves open prospective validation before clinical use.

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Cite This Study

Hill et al. (2016) studied this question.

synapsesocial.com/papers/6a1e70d2e6eabd489e68a92e https://doi.org/10.1113/jp272015

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Artificial intelligence in cardiology

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Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century

Discussion

Member takes

Implication

Key Points

Cite This Study

Topics

Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century

Discussion

Member takes

Implication

Key Points

Cite This Study

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