M. Braun
2 Papers
6 Citations
M. Braun is an academic researcher. The author has contributed to research in topics: Internal medicine & Engineering. The author has an hindex of 1, co-authored 1 publications.
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Papers
Intravenous thrombolytic therapy for ischemic stroke via telemedicine compared with bedside treatment in an experienced stroke unit
L. Raulot,Gioia Mione,C.P. Hoffmann,S. Bracard,M. Braun,A. Brunner,A. Vezain,S. Langard,F. Lesage,L. Durupt,S. Richard +10 more
TL;DR: This study demonstrates that the telestroke system, Virtuall, is as safe and effective in initiating rt-PA treatment as bedside evaluation in an experienced stroke unit, despite a longer intra-hospital time.
Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute Stroke
Fanny Quandt,Fabian Flottmann,Vince I. Madai,Anna Alegiani,Clemens Küpper,Lars Kellert,Adam Hilbert,Dietmar Frey,Thomas Liebig,Mayank Goyal,Jeffrey L. Saver,Christian Gerloff,Götz Thomalla,Steffen Tiedt,Jörg Berrouschot,Albrecht Bormann,Georg Bohner,Christian H. Nolte,Eberhard Siebert,Sarah Zweynert,Franziska Dorn,Gabor C. Petzold,Fee Keil,Waltraud Pfeilschifter,Gerhard F. Hamann,M. Braun,Bernd Eckert,Julia Röther,Jens Fiehler,Goetz Thomalla,Christoffer Kraemer,Klaus Gröschel,Timo Uphaus,Scott Tiedt,Christoph G. Trumm,Tobias Boeckh-Behrens,Silke Wunderlich,A. Ludolph,Martina Petersen,Florian Stögbauer,Ulrike Ernemann,Serena Poli,Pooja Khatri,Martin Bendszuz,Serge Bracard,Joseph P. Broderick,B Campbell,Alfonso Ciccone,Antoni Dávalos,SM Davis,A. Demchuk,Hans-Christoph Diener,Diederik W.J. Dippel,Geoffrey A. Donnan,Xavier Ducrocq,David Fiorella,Gary A. Ford,M. Goyal,Werner Hacke,Michelle Hill,Reza Jahan,Edward C. Jauch,Tudor G Jovin,Chelsea S. Kidwell,Kennedy R. Lees,David S Liebeskind,Charles B. L. M. Majoie,Sheila Cristina Ouriques Martins,Peter Mitchell,J Mocco,K. W. Muir,Raul G Nogueira,J. L. Saver,W. Schonewille,Adnan H. Siddiqui,Thomas A. Tomsick,Aquilla S Turk,Wim H. van Zwam,Philip White,Sohei Yoshimura,Osama O. Zaidat +80 more
TL;DR: In this paper , the importance of reperfusion level on functional outcome prediction using machine learning in patients with LVO stroke treated with endovascular thrombectomy in clinical practice and in patients treated with EVT or best medical management from randomized controlled trials (RCTs).