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Clinical Trial Summary

Pulmonary embolism (PE) remains a high mortality and morbidity disease state. We have previously shown that use of a Pulmonary Embolism Response Team (PERT) can improve overall readmission, bleeding, and mortality outcomes. Unfortunately, PERT may still be underutilized from a national standpoint and may not be readily available in underserved areas. The utility of the current study is to investigate the implementation of an artificial intelligence (AI) program to differentiate patients at the highest risk of the PE spectrum to help efficiently identify those most appropriate for aggressive management. Furthermore, we will investigate the utility of an algorithm-driven protocol for activation of invasive interventions versus traditional PERT discussion and evaluate overall patient outcomes.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT06246045
Study type Interventional
Source University Hospitals Cleveland Medical Center
Contact Jun Li, MD
Phone 440-882-0075
Email jun.li@uhhospitals.org
Status Not yet recruiting
Phase N/A
Start date March 1, 2024
Completion date March 1, 2026

See also
  Status Clinical Trial Phase
Withdrawn NCT04996667 - Effect of iNO in Patients With Submassive and Massive PE Phase 2
Terminated NCT03988842 - Standard-dose Apixaban AFtEr Very Low-dose ThromboLYSis for Acute Intermediate-high Risk Acute Pulmonary Embolism Phase 4
Enrolling by invitation NCT04855370 - Non-Invasive Measurement of Cardiac Output and Stroke Volume in PE N/A
Not yet recruiting NCT05612854 - Catheter Directed Therapy in Intermediate Risk Pulmonary Embolism Patients Early Phase 1