OR11-1 | Quantifying the Rise: Artificial Intelligence’s Influence on the Volume of Interventional Therapies for Acute Pulmonary Embolism

Abstract

Background: Implementing and spreading the Pulmonary Embolism Response Team (PERT) model is the cornerstone of optimizing the management of acute pulmonary embolism (PE), particularly for cases involving more severe disease.The arrival of innovative catheter endovascular technologies has enhanced outcomes for a subset of patients with intermediate-high and high-risk pulmonary embolism.A concerning gap exists in PE managementeven with PERTs available, a large portion of patients are managed through the traditional workflow, missing out on potential team expertise.Aim: Our objective was to assess the shift in the volume of PE patients referred for catheter-directed therapies by the PERT following the integration of artificial intelligence into the PERT workflow.Methods: The artificial intelligence workflow (Aidoc) has been operational since July 2022.We compared the number of PE patients referred by the PERT for catheter-directed therapies between January 2021 and December 2023.Results: The volume for patients with intermediate-high and high-risk PE referred for endovascular intervention from January 2021 to June 2022 was 32.After the incorporation of the Aidoc system, the number of patients referred for interventional therapies increased to 58 between July 2022 and December 2023.This signifies an 81% rise in comparison to the period preceding the implementation of artificial intelligence.The implementation of artificial intelligence was the sole identified factor driving the increase in volume. Conclusions:The introduction of artificial intelligence facilitates and empowers a more streamlined engagement of the Pulmonary Embolism Response Team and promotes a more efficient process.Consequently, there is a rise in the number of intermediate-high and high-risk patients undergoing treatment through catheter-directed therapies.

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