1484
clinical study

Clinical outcome of incidental pulmonary embolism detected by artificial intelligence software: a retrospective analysis

Materials & Methods

iPE algorithm was applied retrospectively to 2793 consecutive patients undergoing Chest CT between 05/2020 to 01/2021 and compared to the original radiology report. Concordant cases between the original report and AI were considered ground truth. Discordant cases deemed positive by AI and negative by the report were reassessed by the Radiologist.

Results

iPE prevelance was 2.3% (65/2792). 45 cases were positive by both AI and radiologist report and AI detected 23 additional discordant positive cases.87% (20/23) were considered TP on secondary review. The AI enhanced detection rate was 44.4% (20/45). 10% (2/20) were chronic PE, 90% (18/20) were acute/subacute PE. 70% (14/20) were subsegmental PE. 40% (8/20) had follow-up imaging: In 50% (4/8) cases iPE was not resolved. In 38% (3/8) patients iPE was noticed on follow-up and reported. In all 3, anticoagulation therapy was initiated. The average treatment delay was 132 days. In 35% (3/20) discrepant anticoagulation was given for other reasons. In the remaining 65% (13/20) cases, iPE was unnoticed by the radiologist or clinician and the patient did not receive any treatment. 25% (5/20) patients died of unrelated causes.

Conclusions

The improved detection rate of iPE by AI may bring significant benefits for prompt management in selected individuals, especially the ones at risk for recurrent thromboembolic events.

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Deepak Srikant

<p>Deepak Srikant is a global marketing executive with over 20 years of experience, specializing in the commercialization of medical devices and digital health solutions. He has a proven track record in driving growth, having led successful go-to-market strategies, product launches and market expansions across the U.S. and EMEA.</p> <p>Srikant’s expertise extends to upstream and downstream marketing, professional education and sales enablement. His leadership at companies such as Silk Road Medical (acquired by Boston Scientific) and Aptus Endosystems (acquired by Medtronic) has consistently resulted in revenue growth, enhanced customer retention and successful product adoption.</p> <p>Srikant holds an MBA from the Yale School of Management and a bachelor’s degree in mechanical engineering from Rensselaer Polytechnic Institute. Currently, he leads product marketing for Aidoc’s cardiovascular service line.</p>

Laci Costa

<p>Laci Costa is the Director of Neurovascular Product Marketing at Aidoc. She leads marketing and commercial strategy for the neuro AI portfolio of products. She has 16 years of experience working in the medical device and healthcare industry, with over 12 years dedicated to neurovascular solutions.</p> <p>Costa’s known for her expertise in the neurovascular industry, go-to-market experience with new technologies and upstream and downstream product marketing leadership. She’s held various leadership positions in product marketing, clinical education and professional affairs spanning across start-up organizations to large publicly traded companies.</p> <p>Costa holds a bachelor’s degree in psychology from the University of Oklahoma and an MBA from USC Marshall School of Business.</p>

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>