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

Maurizio Domanin1,2, Tim J Mandigers2,3, Alfio M Quarteroni4

  • 1Clinical and Community Sciences Department, Università degli Studi di Milano, Milan, Italy.

European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery
|November 7, 2022
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial intelligenceLumbar sarcopeniaMachine learningThoracic endovascular aortic repairType B aortic dissection

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