Key result
Image-based predictive modeling of heart mechanics integrates in vivo measurements with computational methods to assist with diagnosis, surgical guidance, and personalized treatment planning.
Image-based predictive modeling frameworks can increase the understanding of cardiac mechanics and assist with diagnosis, surgical guidance, and treatment planning.
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May aid personalized cardiac planning; extends modeling approaches but leaves open prospective validation before clinical adoption.
Wang et al. (2015) conducted a review in Cardiac mechanics. Image-based predictive modeling was evaluated. Image-based predictive modeling of heart mechanics integrates in vivo measurements with computational methods to assist with diagnosis, surgical guidance, and personalized treatment planning.
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