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Artificial intelligence guidance systems for ultrasound may reduce the need for specialized ultrasound exams

Novel artificial intelligence guided non-expert compression ultrasound deep vein thrombosis diagnostic pathway may reduce vascular laboratory venous testing

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN31827847
Enrollment
50
Registered
2025-11-15
Start date
2021-05-10
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

Deep vein thrombosis (DVT) Circulatory System

Interventions

Patients with suspected DVT underwent an AI-guided proximal DVT compression examination by non-ultrasound-trained providers using ThinkSono Guidance and D-dimer testing. All patients assessed as compr

Sponsors

ThinkSono GmbH
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients suspected of having DVT

Exclusion criteria

Exclusion criteria: 1. Patient withdrawal of consent 2. Incomplete scans

Design outcomes

Primary

MeasureTime frame
Thinksono Guidance image quality was measured using the American College of Emergency Physicians (ACEP) scale at the time of review

Secondary

MeasureTime frame
1. Sensitivity of AI-guided scans to detect proximal deep vein thrombosis (DVT) compared to duplex ultrasound, D dimer levels, or follow up, as appropriate, at the time of evaluation 2. Specificity of AI-guided scans to detect proximal DVT compared to duplex ultrasound, D dimer levels, or follow up, as appropriate, at the time of evaluation 3. Negative Predictive Value (NPV) of AI-guided scans to detect proximal DVT compared to duplex ultrasound, D dimer levels, or follow up, as appropriate, at the time of evaluation 4. Positive Predictive Value (PPV) of AI-guided scans to detect proximal DVT compared to duplex ultrasound, D dimer levels, or follow up, as appropriate, at the time of evaluation 5. Proportion of patients discharged without the need for a duplex ultrasound scan (DUS), recorded from patient records at the time of discharge 6. Time to diagnosis, defined as the duration from initiation of the AI-guided scan to completion of on-call radiologist review, recorded from patient records during the analysis phase of the study

Countries

Greece

Contacts

Public ContactGiancarlo Speranza
hello@thinksono.com+49 1724754848

Outcome results

None listed

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