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Blinded Randomized Controlled Trial of Artificial Intelligence Guided Detection of Intracardiac Thrombus

NCT06206187 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1500

Last updated 2024-01-16

No results posted yet for this study

Summary

To determine whether an integrated AI decision support can save time and improve the accuracy of detection of intracardiac thrombus, the investigators are conducting a blinded, randomized controlled study of AI-guided detection of intracardiac thrombus to electrophysiologist judgment in preliminary readings of echocardiograms.

Conditions

Interventions

OTHER

Automated detection of the intracardiac thrombus through deep learning

A deep learning model will identify the intracardiac thrombus. The AI model will produce an assessment of intracardiac thrombus using video based features.

OTHER

Electrophysiologist judgment of the intracardiac thrombus

Cardiac electrophysiologists use their own experience to determine whether there is intracardiac thrombus

Sponsors & Collaborators

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-01-05
Primary Completion
2025-07-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06206187 on ClinicalTrials.gov