13713

The Only Complete AI Solution for Venous Thromboembolism

Improve time-to-treatment and cross-department collaboration while realizing incremental revenue with the only VTE solution that allows you to manage the full spectrum of the disease.

With approximately 900,000 cases diagnosed in the United States each year, venous thromboembolism (VTE) is a common yet underdiagnosed disease that can overburden health systems due to suboptimal outcomes, including low survival rates, long-term complications and recurrence.1, 2

Artificial intelligence has the potential to transform the way VTE care is provided, helping clinicians to quickly coordinate care, accelerate clinical decision making and manage long-term patient follow-up adherence.

View VTE Solution Explore PERT Solution

The Benefits of an AI-Driven VTE Workflow

Always On AI

Image and report-based AI runs in the background to opportunistically identify potential cases which may require PERT activation, IVC filter removal or a proximal DVT consultation

AUTOMATED DYNAMIC PE RISK STRATIFICATION

Immediately view a patient’s risk level to help facilitate treatment decisions.

Care Coordination

Notification and activation of suspected VTE cases tailored to facility workflows

Follow-Up

Longitudinally manage chronic VTE pathology over time and opportunistically identify potential IVC filter retrieval procedures with a text-based AI solution 

The New Standard for VTE Care

Powered by aiOS™, Aidoc’s comprehensive VTE solution does more than flag suspected pulmonary embolisms – it helps care teams manage the full spectrum of the disease. AI helps flag suspected PEs, iPEs, DVTs and IVC filters, alerts care teams to enable faster communication and routes patients for appropriate follow-up.

The aiOS™

Aidoc’s proprietary clinical AI operating system, the aiOS™, powers every solution we deliver. Always on and deeply integrated into your imaging and clinical systems, aiOS™ ingests multimodal data, selects the right AI using anatomy-aware logic and delivers insights into PACS, EHR and mobile workflows. It also supports real-time care team alerts and enables seamless integration with Aidoc’s care coordination and patient management solutions — all designed to drive timely, coordinated and clinically meaningful impact across the entire VTE care continuum.

Aidoc aiOS chip
Aidoc VTE Solutions Triage and Notification Algorithm screens

Triage and Notification Algorithms

Worklist and PACS-agnostic image-based algorithms flag suspected pulmonary embolism (PE), incidental pulmonary embolism (iPE) and RV/LV ratio measurements. Additionally, text-based AI flags diagnosed deep vein thrombosis (DVT).*

*PE and iPE algorithms are FDA-cleared image-based algorithms available in the Aidoc briefcase. RV/LV ratio output supplied by Aidoc partner Imbio.

Care Coordination

Alert Pulmonary Embolism Response Teams (PERTs) for suspected PE and iPE findings via mobile app*. The app displays the patient’s RV/LV ratio measurement and relevant labs and vitals to help expedite treatment decisions. Additionally, providers receive mobile notifications of confirmed proximal iliofemoral DVT findings to increase awareness of urgent clots for clinical consideration.

Care Coordination features include Automated Dynamic PE Risk Stratification**, a mobile imaging viewer, EHR connectivity, spoke network connectivity and a HIPAA-compliant chat function.

*Mobile application is not intended for diagnostic purposes
**Based on site configuration

Explore the PERT Solution

Mobile PERT Alert

Patient Feed with Risk Stratification

Aidoc VTE Solutions Mobile Image Viewer on an iPhone

Mobile Image Viewer

Aidoc VTE Solutions RV-LV Ratio-BasedRisk Stratification on an iPhone

Automated RV/LV Ratio Measurement

Aidoc VTE Solutions EHR Integration With Labs-Vitals on an iPhone

EHR Integration With Labs/Vitals

Aidoc VTE Solutions Cross-Departmental Chat on an iPhone

Cross-Departmental Chat

Aidoc Patient Management dashboard on a laptop

Patient Management

This solution enables long-term monitoring and follow-up for patients with inferior vena cava (IVC) filters. It uses NLP to automatically identify and alert clinicians of retrievable IVC filters mentioned in imaging reports, even if it was placed by a different facility. Integrated with EHRs, the Patient Management solution enables monitoring and follow-up for every patient with an IVC filter, ensuring that no one is left behind.

REQUEST INFORMATION
Aidoc impact of AI-driven PE care activation download white paper ad

PROVEN CLINICAL IMPACT

Validated through 20+ clinical studies, Aidoc partners have realized numerous positive clinical and financial outcomes post-AI implementation with elements of the VTE solution.

Shaking hands icon on orange background

More PERT consultations

40%3 increase in PERT consultations at Yale New Haven Health

READ THE CASE STUDY
LEARN MORE ABOUT PERT SOLUTION
Gear and clock with circular arrows around them icon on orange background

Faster time-to-treatment

7 hour (41%)4 reduction in time-to-treatment for pulmonary embolism at Cedars-Sinai

READ THE STUDY
Person with circular arrows around them icon on orange background

Prioritized awareness

44% prioritized awareness of incidental pulmonary embolism at University of Texas Medical Branch 5

LEARN MORE
Speedometer and bar graph icon on orange background

Shorter length of stay

26%6 reduction in length of stay at Cedars-Sinai

READ THE STUDY
Squares with an arrow linking them together icon on orange background

Expedite clinical workflows

Over 80%7 of PE are the result of DVT in the leg or pelvic veins. The earlier Iliofemoral DVT is confirmed, the earlier interventional decisions can be made.

READ THE LITERATURE
Arrow and target icon on orange background

Surface additional procedures

Up to 75%8 of retrievable IVC filters are not retrieved or followed-up on.

READ THE LITERATURE

THE AIDOC DIFFERENCE

As the only AI provider with a complete VTE solution, Aidoc provides the most upstream and downstream benefits to patient and facility outcomes. Aidoc estimates a health system with 1,000 beds, and roughly 900,000 imaging exams each year, could realize up to $1 million in revenue from additional, relevant interventions and $1.5 million in length of stay reduction.

Aidoc’s VTE Solution
Other AI for VTE
Always on, Automatic AI
AI Operating System for Seamless Deployment
Hub-Spoke Model Enablement
Worklist Prioritization
Automated EHR Integration
Automated Dynamic PE Risk Stratification
PERT Alerts and Activation
Pulmonary Embolism (PE) Algorithm
Incidental Pulmonary Embolism (iPE) Algorithm
RV/LV Measurement Algorithm Coordination
Deep Vein Thrombosis (DVT) Care Coordination
IVC Filter Patient Management
REQUEST A MEETING

ADVANCING ACUTE PE CARE

Impact of AI-Driven Activation on Clinical Outcomes

In preliminary application, pulmonary embolism care activation has shown enormous potential in identifying intermediate-high to high-risk PE patients and in facilitating multidisciplinary care activation. Explore real-world outcomes from an AI-enabled PERT workflow.

READ THE WHITEPAPER
Medical professional working with AI imaging on a desktop computer

CONTACT US

1.

Data and Statistics on Venous Thromboembolism | CDC. (2023b, February 16). Centers for Disease Control and Prevention. https://www.cdc.gov/blood-clots/

5.

George, J., Palacio, D. (2022). Clinical outcome of incidental pulmonary embolism detected by artificial intelligence software: a retrospective analysis. Presented at RSNA 2022.

2.

Heit, J. A. (2005). Venous thromboembolism: disease burden, outcomes and risk factors. Journal of Thrombosis and Haemostasis, 3(8), 1611–1617. https://doi.org/10.1111/j.1538-7836.2005.01415.x 

6.

Petry, M., Lansky, C., Chodakiewitz, Y. G., Maya, M. M., & Pressman, B. D. (2022). Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System. Radiology Research and Practice, 2022, 1–7. https://doi.org/10.1155/2022/2141839   

3.

Khosla A. (2022). Transforming Endovascular Care with AI-Triggered PE Response Teams [Webinar]. Aidoc. Available at aidoc.com.

7.

Fleck D, Albadawi H, Shamoun F, Knuttinen G, Naidu S, Oklu R. Catheter-directed thrombolysis of deep vein thrombosis: literature review and practice considerations. Cardiovasc Diagn Ther. 2017 Dec;7(Suppl 3):S228-S237. doi: 10.21037/cdt.2017.09.15. PMID: 29399526; PMCID: PMC5778526

4.

Gupta,K., Lipshutz, G., Friedman O., Matusov Y., Yaqoob M., Steinberger J., Mechanical Thrombectomy, Artificial Intelligence and the Activation of a Pulmonary Embolism Response Team. Cedars-Sinai Medical Center, Department of Imaging. Presented at 2022 PERT Consortium.

8.

Goodin, A., Han Q., Raissi, D., Brown Josh D., A Review of Interventions to Increase Vena Cava Filter Retrieval Rates, Annals of Vascular Surgery, Volume 51, 2018, Pages 284-297

© Copyright 2025 Aidoc