Deep learning to predict long-term mortality from plain chest X-ray in patients referred for suspected coronary artery disease.

ABSTRACT:

Background

The hypothesis that a deep learning (DL) model can produce long-term prognostic information from chest X-ray (CXR) has already been confirmed within cancer screening programs. We summarize our experience with DL prediction of long-term mortality, from plain CXR, in patients referred for angina and coronary angiography.

Methods

Data of patients referred to an Italian academic hospital were analyzed retrospectively. We designed a deep convolutional neural network (DCNN) that, from CXR, could predict long-term mortality. External validation was performed on patients referred to a Dutch academic hospital.

Results

A total of 6,031 were used for model training (71%; n=4,259) and fine-tuning/validation (10%; n=602). Internal validation was performed with the remai

SUBMITTER: D'Ancona G 

PROVIDER: S-EPMC11388213 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature