Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

ABSTRACT:

Background

Pulmonary arterial hypertension is a serious medical condition. However, the condition is often misdiagnosed or a rather long delay occurs from symptom onset to diagnosis, associated with decreased 5-year survival. In this study, we developed and tested a deep-learning algorithm to detect pulmonary arterial hypertension using chest X-ray (CXR) images.

Methods

From the image archive of Chiba University Hospital, 259 CXR images from 145 patients with pulmonary arterial hypertension and 260 CXR images from 260 control patients were identified; of which 418 were used for training and 101 were used for testing. Using the testing dataset for each image, the algorithm outputted a numerical value from 0 to 1 (the probability of the pulmonary arterial hypertension score).

SUBMITTER: Imai S 

PROVIDER: S-EPMC10898025 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature