Blinded Randomized Controlled Trial of Artificial Intelligence Guided Detection of Intracardiac Thrombus
ICE Detector-RCT: Blinded, Randomized Controlled Trial of Electrophysiologist vs. Artificial Intelligence Detection of Intracardiac Thrombus
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Shaohui Wu, PHD
- Phone Number: 15821960839
- Email: wushaohui18@163.com
Study Locations
-
-
上海市
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Shanghai, 上海市, China, 200030
- Shanghai Chest Hospital
-
Contact:
- 绍辉 吴
- Phone Number: 15821960839
- Email: wushaohui18@163.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Aged 18-80 years.
- Willing to sign informed consent.
- Patients diagnosed with atrial fibrillation Paroxysmal AF and Persistent AF according to the latest clinical guidelines
Exclusion Criteria:
- End-stage disease with a mean life expectancy less than 1 year
- New York Heart Association (NYHA) class III or IV, or last known left ventricular ejection fraction less than 30%
- Previous surgical or catheter ablation for AF
- Bradycardia and presence of implanted ICD
- Uncontrolled hypertension: Systolic blood pressure (SBP) >180 mmHg or diastolic blood pressure (DBP) > 110 mmHg
- Patients with Cardiovascular events including acute myocardial infarction, any PCI, valvular cardiac surgical, or percutaneous procedure within the past 3 months
- Women of childbearing potential who are, or plan to become, pregnant during the time of the study
- Have been enrolled in an investigational study evaluating devices or drugs.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: Electrophysiologist judgment
|
Cardiac electrophysiologists use their own experience to determine whether there is intracardiac thrombus
|
|
Experimental: Artificial Intelligence Detection
|
A deep learning model will identify the intracardiac thrombus.
The AI model will produce an assessment of intracardiac thrombus using video based features.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Degree of change from initial (AI vs EP doctor) assessment to final cardiologist assessment
Time Frame: 10 Minutes
|
10 Minutes
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Perioperative adverse event rates
Time Frame: 10 Minutes
|
10 Minutes
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- ICE Detector-RCT
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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