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Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.
Motwani M, Dey D, Berman DS, Germano G, Achenbach S, Al-Mallah MH, Andreini D, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Chinnaiyan K, Chow BJ, Cury RC, Delago A, Gomez M, Gransar H, Hadamitzky M, Hausleiter J, Hindoyan N, Feuchtner G, Kaufmann PA, Kim YJ, Leipsic J, Lin FY, Maffei E, Marques H, Pontone G, Raff G, Rubinshtein R, Shaw LJ, Stehli J, Villines TC, Dunning A, Min JK, Slomka PJ. Motwani M, et al. Among authors: rubinshtein r. Eur Heart J. 2017 Feb 14;38(7):500-507. doi: 10.1093/eurheartj/ehw188. Eur Heart J. 2017. PMID: 27252451 Free PMC article.
Clinical applications and future trends in cardiac CTA.
Gaspar T, Halon D, Rubinshtein R, Peled N. Gaspar T, et al. Among authors: rubinshtein r. Eur Radiol. 2005 Nov;15 Suppl 4:D10-4. doi: 10.1007/s10406-005-0118-5. Eur Radiol. 2005. PMID: 16479638 Review.
Usefulness of 64-slice cardiac computed tomographic angiography for diagnosing acute coronary syndromes and predicting clinical outcome in emergency department patients with chest pain of uncertain origin.
Rubinshtein R, Halon DA, Gaspar T, Jaffe R, Karkabi B, Flugelman MY, Kogan A, Shapira R, Peled N, Lewis BS. Rubinshtein R, et al. Circulation. 2007 Apr 3;115(13):1762-8. doi: 10.1161/CIRCULATIONAHA.106.618389. Epub 2007 Mar 19. Circulation. 2007. PMID: 17372178
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