[Neural networks in the field of intravascular ultrasound studies (literature review)].

Abstract

This article is a review discussing neural networks used in the field of intravascular ultrasound examinations and performing functions of automatic identification of unstable plaques, isolation of vascular walls, prediction of the fractional flow reserve. Based on the analysed material, it was determined that neural networks in the field of ultrasound studies are currently an emerging and actively developing trend of intravascular imaging. In case if it is possible to achieve the human-comparable accuracy of the obtained results and to prove them in direct comparison in a clinical trial it could lead to decreasing the cost and increasing the rapidity of performing a percutaneous coronary intervention. We also believe that in future it will be possible to combine the algorithms of automated detection of unstable plaques and prediction of fractional flow reserve, thus unifying intravascular ultrasound examinations for many clinical situations.