14475
clinical study

Artificial Intelligence–Driven Innovative Pulmonary Embolism Response Team Approach (AI-PERT)

PERT, Pulmonary Embolism, Turnaround Time

Materials & Methods
This retrospective study analyzed 2,500 patients with CT-confirmed pulmonary embolism (PE) between Aug. 2022 and July 2024. Patients were stratified by embolism location and Pulmonary Embolism Severity Index (PESI) score. Time from admission, imaging and Pulmonary Embolism Response Team (PERT) activation were compared one year before and after implementation of an AI-enhanced PERT (AI-PERT) workflow. Statistical analysis was performed using the Student’s t-test.

Results
Among 424 central or segmental PE cases (45% female, median PESI 115.5, 30-day mortality 18%), PERT activation rates increased nearly tenfold after AI integration — from 9.2% to 84.5%. Interventional treatments for intermediate high-risk PE rose from 6.5% to 10.2%, while median time from diagnosis to intervention decreased from 2,158 to 1,133 minutes (p < 0.05).

Conclusions
The AI-PERT model significantly increased PERT activations, accelerated time to intervention and improved alignment with treatment guidelines in acute PE care. These findings demonstrate the potential of AI-assisted coordination to optimize workflows and enhance patient outcomes in high-risk pulmonary embolism management.

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