Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography
32
Zitationen
11
Autoren
2022
Jahr
Abstract
The development of an AI model and its use for the identification of pulmonary embolism will support healthcare workers by reducing the rate of missed findings and minimizing the time required to screen the scans.
Ähnliche Arbeiten
Correspondence - Tranexamic acid for traumatic brain injury
2005 · 11.699 Zit.
Rivaroxaban versus Warfarin in Nonvalvular Atrial Fibrillation
2011 · 9.316 Zit.
Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials
2016 · 7.365 Zit.
Collaborative meta-analysis of randomised trials of antiplatelet therapy for prevention of death, myocardial infarction, and stroke in high risk patients
2002 · 6.932 Zit.
Prasugrel versus Clopidogrel in Patients with Acute Coronary Syndromes
2007 · 6.700 Zit.