RESUMO
In recent years, software-assisted imaging systems, such as computed tomography, have contributed to the improvement of noninvasive options for the diagnostics of coronary heart disease (CHD). In addition, the possibilities of individual morphological and functional atherosclerotic plaque evaluation could be further refined, e.g. by the use of optical coherence tomography or the quantitative flow ratio (QFR). Due to the development of robotic-assisted catheter systems, it has been possible to make coronary interventions more precise and with less radiation exposure for the examiner. It is to be expected that in the future even better algorithms will be developed by the analysis of very large amounts of data. These will enable a more exact, dynamic and personalized prediction of, e.g. treatment success or individual risk profiles, in order to positively and sustainably influence the treatment of patients with cardiovascular diseases.