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We formulate the training data to predict the maximum von Mises stress, which could indicate risk of plaque rupture. Trained deep learning models are able to accurately predict the max von Mises stress within 9.86% error on a held-out test set. The deep neural networks outperform alternative prediction models and performance scales with amount of training data. Lastly, we examine the importance of contributing features on stress value and location prediction to gain intuitions on the underlying process. Moreover, deep neural networks can capture the functional mapping described by the finite element method, which has far-reaching implications for real-time and multiscale prediction tasks in biomechanics.<\/jats:p>","DOI":"10.1115\/1.4043290","type":"journal-article","created":{"date-parts":[[2019,3,26]],"date-time":"2019-03-26T14:43:36Z","timestamp":1553611416000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":83,"title":["Bridging Finite Element and Machine Learning Modeling: Stress Prediction of Arterial Walls in Atherosclerosis"],"prefix":"10.1115","volume":"141","author":[{"given":"Ali","family":"Madani","sequence":"first","affiliation":[{"name":"Molecular Cell Biomechanics Laboratory, Department of Bioengineering, University of California, Berkeley, CA 94720; Department of Mechanical Engineering, University of California, Berkeley, CA 94720"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed","family":"Bakhaty","sequence":"additional","affiliation":[{"name":"Molecular Cell Biomechanics Laboratory, Department of Bioengineering, University of California, Berkeley, CA 94720; Department of Mechanical Engineering, University of California, Berkeley, CA 94720; Department of Civil Engineering, University of California, Berkeley, CA 94720"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiwon","family":"Kim","sequence":"additional","affiliation":[{"name":"Molecular Cell Biomechanics Laboratory, Department of Bioengineering, University of California, Berkeley, CA 94720; Department of Mechanical Engineering, University of California, Berkeley, CA 94720; Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yara","family":"Mubarak","sequence":"additional","affiliation":[{"name":"Molecular Cell Biomechanics Laboratory, Department of Bioengineering, University of California, Berkeley, CA 94720; Department of Mechanical Engineering, University of California, Berkeley, CA 94720; Department of Civil Engineering, University of California, Berkeley, CA 94720"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad R. 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