1584
clinical study

Mechanical Thrombectomy, Artificial Intelligence and the Activation of a Pulmonary Embolism Response Team

Materials & Methods

Mechanical pulmonary arterial thrombectomies performed for acute PE and CT angiogram (CTA) were reviewed over a four-year period. The algorithm to directly notify PERT members was initiated in early 2022. The cohort was divided into pre-implementation and post-implementation groups. Time of CTA acquisition, time of notification of a clinical provider by the reading diagnostic radiologist, and time of thrombectomy were gathered and used to compare times to thrombectomy and time from imaging to notification of a clinical provider between the two groups. Clinical outcomes including hospital length of stay and ICU length of stay were collected. 

Results

A total of 13 patients including six patients in the pre-implementation phase and seven patients in the post-implementation phase. Implementation of the algorithm was associated with a mean decrease in time from CT angiography to mechanical thrombectomy by 40% (17.1 hours vs. 10.1 hours) and time from imaging to notification of clinical provider by 38% (0.8 hours vs. 0.3 hours). Clinical outcomes showed a 23% (13 days vs. 10 days) reduction in the length of stay in the ICU and 18% (17 days vs. 14 days) in overall inpatient length of stay. 

Conclusions

The use of an AI algorithm suggests a significant reduction in time from initial imaging to mechanical pulmonary arterial thrombectomy by screening CT angiograms and directly notifying a PERT of potential candidates.

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Ayden Jacob, MD, MSc

<p>Ayden Jacob, MD, MSc, is a physician-engineer with expertise in AI, data science and healthcare economics. He’s passionate about leveraging AI and data science to solve complex healthcare issues through the specific prism of economics and finance. At Aidoc, Dr. Jacob’s work focuses on quantifying the clinical and financial impact of innovative AI solutions deployed throughout the healthcare ecosystem.</p> <p>Dr. Jacob’s diverse expertise reflects a commitment to advancing healthcare through data-driven solutions that enhance both patient outcomes and operational effectiveness. A graduate of Yeshiva University and the University of Oxford, Dr. Jacob employs an interdisciplinary approach to innovating at the intersection of clinical medicine, engineering and informatics.</p>

Marlee Ravid

<p>Marlee Ravid brings over a decade of experience in content marketing, communications and customer engagement to her role as Customer Marketing Manager at Aidoc.</p> <p>She strategically executes innovative programs that amplify the leadership of both Aidoc and its customers, helping to position them as visionaries in healthcare. Having been with Aidoc since its early days, Ravid has worked closely with leadership to build and implement comprehensive marketing strategies, from content development to demand generation and brand awareness.</p> <p>She holds a bachelor’s degree from Georgia State University and a master’s degree from Tel Aviv University.</p>

Aidoc Staff