Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning.

Journal: Circulation journal : official journal of the Japanese Circulation Society
PMID: 39617426

Abstract

BACKGROUND: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current reference score used for this purpose, but it has limitations regarding predictive accuracy. Our aim was to develop a new short-term mortality prediction model for PE patients based on deep learning (DL) with multimodal data, including imaging and clinical/demographic data.

Authors

  • Vedat Cicek
    Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University.
  • Ahmet Lutfullah Orhan
    Sultan II Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University.
  • Faysal Saylik
    Van Training and Research Hospital, Department of Cardiology, Health Sciences University.
  • Vanshali Sharma
    Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University.
  • Yalcin Tur
    Department of Computer Science, Stanford University.
  • Almina Erdem
    Sultan II Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University.
  • Mert Babaoglu
    Sultan II Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University.
  • Omer Ayten
    Sultan II Abdülhamid Han Training and Research Hospital, Department of Pulmonary Medicine, Health Sciences University.
  • Solen Taslicukur
    Department of Cardiology, Istanbul Education and Research Hospital.
  • Ahmet Oz
    Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey.
  • Mehmet Uzun
    Sultan II Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University.
  • Nurgül Keser
    University of Sakarya Faculty of Medicine and TR Health Ministry Health Sciences University Istanbul Sultan Abdülhamit Han Research and Training Hospital, İstanbul-Turkey.
  • Mert Ilker Hayiroglu
    Department of Cardiology, Dr. Siyami Ersek Cardiovascular and Thoracic Surgery Research and Training Hospital.
  • Tufan Cinar
    Department of Medicine, University of Maryland.
  • Ulas Bagci
    Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N Michigan Ave, Ste 1600, Chicago, IL 60611.

Keywords

External Resources

Popular Topics
Recent Journals