Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis.

ABSTRACT:

Background

Accurate diagnostic and prognostic predictions of venous thromboembolism (VTE) are crucial for VTE management. Artificial intelligence (AI) enables autonomous identification of the most predictive patterns from large complex data. Although evidence regarding its performance in VTE prediction is emerging, a comprehensive analysis of performance is lacking.

Aims

To systematically review the performance of AI in the diagnosis and prediction of VTE and compare it to clinical risk assessment models (RAMs) or logistic regression models.

Methods

A systematic literature search was performed using PubMed, MEDLINE, EMBASE, and Web of Science from inception to April 20, 2021. Search terms included "artificial intelligence" and "venous thromboembolism." Eligible criter

SUBMITTER: Chiasakul T 

PROVIDER: S-EPMC10900245 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature