Deep learning to predict long-term mortality from plain chest X-ray in patients referred for suspected coronary artery disease
In patients referred for coronary angiogram because of angina, the DL-CXR risk score could be used to stratify mortality risk and predict long-term outcome better than age and coronary artery disease status.
Authors
- Fatih Arslan (ORCID: https://orcid.org/0000-0001-6598-8599)
- Hüseyin İnce (ORCID: https://orcid.org/0000-0002-5953-6497)
- Alberto Signoroni (ORCID: https://orcid.org/0000-0002-8383-3766)
- Roderick W.C. Scherptong (ORCID: https://orcid.org/0000-0001-9125-4601)
- Mattia Savardi (ORCID: https://orcid.org/0000-0002-2751-5157)
- Mauro Massussi (ORCID: https://orcid.org/0000-0003-0895-440X)
- Stefano Benussi (ORCID: https://orcid.org/0000-0003-1279-9254)
- Salvatore Curello
- Davide Farina (ORCID: https://orcid.org/0000-0003-4075-0001)
- Monica Murero (ORCID: https://orcid.org/0000-0001-6693-8075)
- Viktor Van Der Valk
- Giuseppe D'Ancona
Institutions
- Leiden University Medical Center (NL)
- Vivantes Klinikum (DE)
- University of Brescia (IT)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2024-08-01
- DOI
- https://doi.org/10.21037/jtd-24-322
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Society of Cardiology