Identifying ex vivo acute ischemic stroke thrombus composition using electrochemical impedance spectroscopy

CONCLUSION: Combination of EIS and machine learning can reliably predict the RBC composition of retrieved ex vivo AIS thrombi and then classify them into groups according to their RBC composition with good sensitivity and specificity.PMID:37192738 | DOI:10.1177/15910199231175377

Source: Interventional Neuroradiology - May 16, 2023 Category: Radiology Authors: Jean Darcourt Waleed Brinjikji Olivier Fran çois Alice Giraud Collin R Johnson Smita Patil Senna Staessens Ramanathan Kadirvel Mahmoud H Mohammaden Leonardo Pisani Gabriel Martins Rodrigues Nicole M Cancelliere Vitor Mendes Pereira Franz Bozsak Karen Doy Source Type: research