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Computational heart modeling is one of the novel approaches that have been developed under the umbrella of Precision Cardiology. Personalized computational modeling of patient hearts has made strides in the development of models that incorporate the individual geometry and structure of the heart as well as other patient\u2010specific information. Of these developments, one of the potentially most impactful is the research aimed at noninvasively predicting the targets of ablation of lethal arrhythmia, ventricular tachycardia (VT), using patient\u2010specific models. The approach has been successfully applied to patients with ischemic cardiomyopathy in proof\u2010of\u2010concept studies. The goal of this paper is to review the strategies for computational VT ablation guidance in ischemic cardiomyopathy patients, from model developments to the intricacies of the actual clinical application. To provide context in describing the road these computational modeling applications have undertaken, we first review the state of the art in VT ablation in the clinic, emphasizing the benefits that personalized computational prediction of ablation targets could bring to the clinical electrophysiology practice.<\/jats:p>\n                  <jats:p>This article is characterized under:<\/jats:p>\n                  <jats:p>Analytical and Computational Methods &gt; Computational Methods<\/jats:p>\n                  <jats:p>Models of Systems Properties and Processes &gt; Organ, Tissue, and Physiological Models<\/jats:p>\n                  <jats:p>Translational, Genomic, and Systems Medicine &gt; Translational Medicine<\/jats:p>","DOI":"10.1002\/wsbm.1477","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T09:20:38Z","timestamp":1578561638000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post\u2010infarction patients"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8661-063X","authenticated-orcid":false,"given":"Natalia A.","family":"Trayanova","sequence":"first","affiliation":[{"name":"Alliance for Cardiovascular Diagnostic and Treatment Innovation Johns Hopkins University  Baltimore Maryland"},{"name":"Department of Biomedical Engineering Johns Hopkins University  Baltimore Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8740-0258","authenticated-orcid":false,"given":"Ashish N.","family":"Doshi","sequence":"additional","affiliation":[{"name":"Alliance for Cardiovascular Diagnostic and Treatment Innovation Johns Hopkins University  Baltimore Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adityo","family":"Prakosa","sequence":"additional","affiliation":[{"name":"Alliance for Cardiovascular Diagnostic and Treatment Innovation Johns Hopkins University  Baltimore Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,1,9]]},"reference":[{"key":"e_1_2_9_2_1","first-page":"e272","article-title":"2017 AHA\/ACC\/HRS Guideline for Management of Patients with ventricular arrhythmias and the prevention of sudden cardiac death","volume":"138","author":"Al\u2010Khatib S. 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