Ontology highlight
ABSTRACT: Background
Typical signs of heart failure (HF), like increased cardiothoracic ratio (CTR) and pleural effusion, can be seen on X-ray. Artificial Intelligence (AI) can help in the early and quicker diagnosis of HF.Objectives
The study's goal was to demonstrate that the AI interpretation of chest X-rays can assist the clinician in diagnosing HF.Methods
Patients older than 45 years were included in the study. The study analyzed 10 100 deidentified outpatient chest X-rays by AI algorithm. The AI-generated report was later verified by an independent radiologist. Patients with CTR > 0.5 and pleural effusion were marked as potential HF. Flagged patients underwent confirmatory tests, and those labeled as negative also underwent further investigations to rule out HF.Resu
SUBMITTER: Celik A
PROVIDER: S-EPMC10716309 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature