First-pass aspiration versus stent retriever thrombectomy: machine learning study of treatment effect heterogeneity

Journal of NeuroInterventional Surgery · Published 2026-07-24 · DOI 10.1136/jnis-2026-025615

Authors (44)

Huanwen Chen, Julio Isidor, Clemens Schirmer, Marielle Ernst, Joon-tae Kim, Ansaar Rai, Pascal Jabbour, Isaac Josh Abecassis, Jonathan A Grossberg, Ali Alawieh, Omaditya Khanna, Pedro Navia, Robert M Starke, Marios-Nikos Psychogios, Fazeel Siddiqui, Edgar A Samaniego, Nitin Goyal, Mohamad Ezzeldin, Justin Dye, Ali Alaraj, Shinichi Yoshimura, Rodolfo Alcedo, Russell Cerejo, Evan Luther, Eyad Almallouhi, David Fiorella, Daniele G Romano, Omar Tanweer, Isabel Fragata, Justin Mascitelli, Hugo H Cuellar, Nohra Chalouhi, Kaustubh Limaye, Maxim Mokin, Charles Matouk, Ryan Kellogg, Waleed Brinjikji, Shakeel A Chowdhry, David J. Altschul, Christopher S Ogilvy, Michael Levitt, Ramesh Grandhi, Alejandro M Spiotta, Peter Kan

Abstract

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Publication details

Year
2026

Citation

Chen, H., Isidor, J., Schirmer, C., et al. (2026). First-pass aspiration versus stent retriever thrombectomy: machine learning study of treatment effect heterogeneity. Journal of NeuroInterventional Surgery. https://doi.org/10.1136/jnis-2026-025615

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