Deep-learning analysis of computed tomography coronary angiography data enables more accurate computation of the shear stress distribution than conventional analysis by experts
Oct 14, 2025·,,,,,,,,,,,,,,,,,,,,,·
0 min read
A. Sivananthan
S. M. T. Kumaran
admin
A. Mohammed
A. Ramasamy
A. S. Kalogeropoulos
M. Ozkor
G. Zeren
N. A. L. Yap
X. He
P. Serruys
J. C. Moon
A. Mathur
A. Broersen
P. Kitslaar
X. Zhang
J. H. C. Reiber
J. Dijkstra
F. Pugliese
A. Baumbach
R. Torii
C. V. Bourantas
Abstract
Deep learning-based analysis of CT coronary angiography is shown to compute wall shear stress distribution more accurately than conventional expert analysis, validated against near-infrared spectroscopy-intravascular ultrasound modelling.
Type
Publication
Journal of Cardiovascular Computed Tomography