Aim. Testing the effectiveness of the new interactive calculator for surgical risk stratification to select the optimal revascularization strategy in patients with combined lesion of coronary and brachiocephalic arteries. Material and methods. Based on the results of research carried out at the Research Institute of Complex Issues of Cardiovascular Diseases, a mathematical model of the personalized choice of the optimal strategy for myocardial and cerebral revascularization was developed based on predicting the risk of adverse ischemic cardiovascular events in the long-term follow-up period (33.95±12.05 months). Its working was tested retrospectively on a sample of patients who had not previously been included in the development of the model. From June 2015 to June 2016, 128 operations were performed in patients with combined lesions of coronary and carotid arteries, including 61 (47.6%) simultaneous operation of CEE + CABG; 35 (27.3%) of hybrid PCI and CEE interventions; 25 (19.5%) of stage-by-stage operations of CABG-CEE and 7 (5.5%) of stage-by-stage CEE-CABG with an average time between revascularization stages of 27.4±15.9 days. Results. The mathematical model gave advantages to such revascularization strategies as CEE + CABG and step-by-step CABG-CEE. This trend is due to the characteristics of the sample of patients who had symptomatic hemodynamically significant atherosclerosis, as well as a serious concomitant pathology, which requires a combined surgical approach, one-step or phased with a 30-day interval between operations. It is important that according to the calculations of the automated system, 79% of patients who had adverse cardiovascular events should have used one of such strategies as CEE + CABG and a staged CABG-CEE, whereas the choice of the multidisciplinary team for these two tactics was only in 57% of cases. Conclusion. This interactive calculator could have a place in the arsenal of methods of surgical risk stratifying and personalized choosing for revascularization strategy based on the prediction of adverse cardiovascular events in a long-term follow-up period.