Optimising a Digital Diagnostic Pathway for Heart Failure in the Community
NCT04724200 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 867
Last updated 2024-03-28
Summary
This is a prospective, observational study. The primary aim is to assess the diagnostic accuracy of Artificial Intelligence (AI) analysis of Point of Care (POC) handheld transthoracic echocardiogram images (POC handheld echocardiogram) compared to the current gold-standard of transthoracic echocardiogram images acquired and analysed by a British Society of Echocardiography (BSE) accredited operator, using a standard echocardiogram machine (standard TTE), for the diagnosis of Heart Failure with reduced Ejection Fraction (HFrEF), in patients referred from the community for investigation of suspected new Heart Failure (HF).
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Echocardiogram
Echocardiography plays a crucial role in the diagnosis of HF; it is the standard of care imaging modality used to confirm the diagnosis, it permits real-time imaging of the heart and quantitative assessment of cardiac structure and function, crucial for diagnosis.
Sponsors & Collaborators
-
University of Glasgow
collaborator OTHER -
NHS Greater Glasgow and Clyde
lead OTHER
Principal Investigators
-
Clare Murphy · NHS Greater Glasgow and Clyde
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-01-05
- Primary Completion
- 2021-08-27
- Completion
- 2023-12-31
Countries
- United Kingdom
Study Locations
More Related Trials
-
AI-Enabled Diagnosis and Prognosis of Hypertrophic Cardiomyopathy
NCT07263204 ·Status: RECRUITING
-
Artificial Intelligence (AI) Analysis of Synchronized Phonocardiography (PCG) and Electrocardiogram(ECG)
NCT06009718 ·Status: RECRUITING
-
Precision of AI-Based Cardiac Ultrasound for LVEF in the Elderly
NCT06478901 ·Status: COMPLETED
-
Prospective Longitudinal Evaluation of AI-ECG in a NEwly Diagnosed Heart Failure
NCT05817136 ·Status: UNKNOWN
-
AI Assessment of Low-Gradient Aortic Stenosis Severity Based on Echocardiography
NCT07144189 ·Status: RECRUITING
-
Developing Echocardiography Image Quality Management System Based on Deep Learning
NCT05633732 ·Status: RECRUITING
-
Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study
NCT06749145 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Evaluation of Blood Flow Patterns in Lung Blood Vessels Using Ultrasound Technique in Patients With Congestive Heart Failure
NCT01744210 ·Status: WITHDRAWN
-
Etiological DiagnOsis of caRdiac Diseases Based on echoCardiograpHIc Images and Clinical Data.
NCT05942729 ·Status: RECRUITING
-
HeartGuide: Preliminary Study
NCT05490303 ·Status: UNKNOWN ·Phase: NA
-
Heart Failure Monitoring With a Portable Ultrasound Device With Artificial Intelligence Assisted Tools: A Multi-Phase Observational Feasibility Study
NCT05594940 ·Status: TERMINATED
-
A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension
NCT07079592 ·Status: RECRUITING ·Phase: NA
-
Use of Artificial Intelligence Cardiac Ultrasound Technology in Teaching Point of Care Cardiac Ultrasound
NCT05297877 ·Status: UNKNOWN ·Phase: NA
-
Normal Values of Cardiac Measurements by Echocardiography in Chinese Based on Artificial Intelligence
NCT06234241 ·Status: COMPLETED
-
Feasibility of AI-based Heart Function Prediction Model Using CXR
NCT04996381 ·Status: COMPLETED
-
Determination of Diastolic Dysfunction by Single Lead Electrocardiogram
NCT04474639 ·Status: COMPLETED
-
Deep Learning Detection of Pulmonary Hypertension and Low Ejection Fraction Via Digital Stethoscope and 3-Lead ECG
NCT07087613 ·Status: RECRUITING
-
A Novel Automated & Comprehensive Approach for Ventricular Function Assessment in Heart Failure
NCT02791126 ·Status: COMPLETED
-
ECG Low Ejection Fraction Detection and Guiding in AI Navigated Treatment Era
NCT06968533 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
A Multi-center Study on Artificial Intelligence-Based Quantitative Evaluation of Echocardiography
NCT07133516 ·Status: RECRUITING
-
Efficacy of AI EF Screening by Using Smartphone Application Recorded PLAX View Cardiac Ultrasound Video Clips
NCT06330103 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence-assisted Diagnosis and Prognostication in Low Ejection Fraction Using Electrocardiograms
NCT05117970 ·Status: COMPLETED ·Phase: NA
-
Diagnosis of HCM With AI-ECG
NCT06287892 ·Status: RECRUITING
-
Use of Artificial Intelligence-Guided Echocardiography to assIst cardiovascuLar Patient managEment
NCT05558605 ·Status: RECRUITING ·Phase: NA
-
AI-Enabled Direct-from-ECG Ejection Fraction (EF) Severity Assessment Using COR ECG Wearable Monitor
NCT06699056 ·Status: RECRUITING