Artificial intelligence techniques may innovate patient selection for thoracic endovascular aortic repair

Journal Article Artificial intelligence techniques may innovate patient selection for thoracic endovascular aortic repair Get access Maurizio Domanin, Maurizio Domanin Clinical and Community Sciences Department, Università degli Studi di Milano, Milan, ItalyDepartment of Vascular Surgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy https://orcid.org/0000-0001-7510-3520 Search for other works by this author on: Oxford Academic PubMed Google Scholar Tim J Mandigers, Tim J Mandigers Department of Vascular Surgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, ItalyDepartment of Vascular Surgery, University Medical Center Utrecht, Utrecht, Netherlands https://orcid.org/0000-0002-9508-4088 Search for other works by this author on: Oxford Academic PubMed Google Scholar Alfio M Quarteroni, Alfio M Quarteroni Modelling and Scientific Computing (MOX), Department of Mathematics, Politecnico di Milano, Milan, Italy https://orcid.org/0000-0002-5947-6885 Search for other works by this author on: Oxford Academic PubMed Google Scholar Santi Trimarchi Santi Trimarchi Clinical and Community Sciences Department, Università degli Studi di Milano, Milan, ItalyDepartment of Vascular Surgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy Corresponding author. Department of Vascular Surgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, Milan 20122, Italy. Tel: +39-02-55032936/6670; e-mail: santi.trimarchi@unimi.it (S. Trimarchi). https://orcid.org/0000-0001-5996-3264 Search for other works by this author on: Oxford Academic PubMed Google Scholar European Journal of Cardio-Thoracic Surgery, Volume 62, Issue 6, December 2022, ezac526, https://doi.org/10.1093/ejcts/ezac526 Published: 07 November 2022 Article history Received: 24 October 2022 Published: 07 November 2022 Corrected and typeset: 14 November 2022