The role of artificial intelligence in standardizing global longitudinal strain measurements in echocardiography.

ABSTRACT:

Aims

To evaluate the accuracy and feasibility of artificial intelligence (AI) in left ventricular global longitudinal strain (GLS) analysis as compared to conventional (Manual) and semi-automated (SemiAuto) method in echocardiography (Echo).

Methods and results

GLS validation was performed on 550 standard Echo exams by expert cardiologists. The performance of a beginner cardiologist without experience of GLS analysis was assessed on a subset of 90 exams. The AI employs fully automated view selection, classification, endocardial border tracing, and calculation of GLS from an entire Echo exam, while SemiAuto requires manual chamber view selection, and Manual involves full user input. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC) for al

SUBMITTER: Sveric KM 

PROVIDER: S-EPMC11660427 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature