2023
DOI: 10.3390/bioengineering10091066
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The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics

George A. Truskey

Abstract: When combined with patient information provided by advanced imaging techniques, computational biomechanics can provide detailed patient-specific information about stresses and strains acting on tissues that can be useful in diagnosing and assessing treatments for diseases and injuries. This approach is most advanced in cardiovascular applications but can be applied to other tissues. The challenges for advancing computational biomechanics for real-time patient diagnostics and treatment include errors and missin… Show more

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