Skip to content

A pilot study to evaluate AI-assisted ultrasound software for the diagnosis of venous thrombosis

A pilot study to evaluate AI-assisted ultrasound software for the diagnosis of venous thrombosis

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN24293748
Enrollment
50
Registered
2023-05-13
Start date
2021-10-19
Completion date
Unknown
Last updated
2025-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Proximal deep vein thrombosis Circulatory System

Interventions

Patients consented when scheduled for a DVT ultrasound exam with the radiology department. An AI-assisted scan with the AutoDVT software is performed by a non-specialist (nurse). A follow-up gold-st

Sponsors

ThinkSono GmbH
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Aged 18 years old and over 2. Suspicion of the presence of a deep vein thrombosis, indicating a compression ultrasound exam according to standard clinical practice 3. Capacity to consent to the study through the patients or the Legal Representative

Exclusion criteria

Exclusion criteria: 1. Inability to consent to the study or rejection through patients or the legal representative. 2. Pregnant for more than 12 weeks 3. D-dimer testing cannot be performed/patient is on anticoagulation 4. History of DVT in the symptomatic leg

Design outcomes

Primary

MeasureTime frame
Sensitivity and specificity measured using AI-guided ultrasound and a local imaging specialist performing the gold-standard ultrasound exam at the same timepoint

Secondary

MeasureTime frame
Image quality of the AI-guided ultrasound measured by a remote qualified clinician according to the American College of Emergency Physicians (ACEP) scoring scale from 1 to 5 at one timepoint

Countries

Greece

Contacts

Public ContactSven Mischkewitz
hello@thinksono.com+491754724848

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026