Efficacy of AI EF Screening by Using Smartphone Application Recorded PLAX View Cardiac Ultrasound Video Clips

NCT06330103 — Not applicable, Completed, 923 participants, Rayong Hospital

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Assessing the Efficacy of Artificial Intelligence in Left Ventricular Function Screening Using Parasternal Long Axis View Cardiac Ultrasound Video Clips

Registry	NCT06330103
Status	Completed
Phase	Not applicable
Study type	Interventional; non randomized, parallel, masking: single, diagnostic
Enrollment	923 (Actual)
Sponsor	Rayong Hospital (Other); collaborators: Chulalongkorn University
Conditions	Heart Failure, Heart Failure With Reduced Ejection Fraction, Cardiac Failure, Echocardiography, Artificial Intelligence
Interventions	Easy EF (Other)
Dates	start 2023-05-01, primary completion 2023-07-31, completion 2023-07-31, first posted 2024-03-26, last updated 2024-03-26
Locations	1 site in Thailand

-Summary

Assessing the Efficacy of Artificial Intelligence in Left Ventricular Function Screening Using Parasternal Long Axis View Cardiac Ultrasound Video Clips

ABSTRACT BACKGROUND: Echocardiography serves as a fundamental diagnostic procedure for managing heart failure patients. Data from Thailand's Ministry of Public Health reveals that there is a substantial patient population, with over 100,000 admissions annually due to this condition. Nevertheless, the widespread implementation of echocardiography in this patient group remains challenging, primarily due to limitations in specialist resources, particularly in rural community hospitals. Although modern community hospitals are equipped with ultrasound machines capable of basic cardiac assessment (e.g., parasternal long axis view), the demand for expert cardiologists remains a formidable obstacle to achieving comprehensive diagnostic capabilities. Leveraging the capabilities of Artificial Intelligence (AI) technology, proficient in the accurate prediction and processing of diverse healthcare data types, offers a promising for addressing this prevailing issue. This study is designed to assess the effectiveness of AI in evaluating cardiac performance from parasternal long axis view ultrasound video clips obtained via the smartphone application.

OBJECTIVES: To evaluate the effectiveness of artificial intelligence in screening cardiac function from parasternal long axis view cardiac ultrasound video clips obtained through the smartphone application.

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+Detailed description

METHODS: The investigators built the smartphone application to collect parasternal long axis view video clips and used artificial intelligence "Easy EF" to evaluate cardiac function. All samples that were evaluated for LVEF by certified cardiologists, 70% of all clips were used to train AI, while the remaining 30% of clips were used to test if AI could process the results correctly. Artificial intelligence aims to classify cardiac function into three groups: Reduced EF, Mildly Reduced EF, and Preserved LV.

+Arms and interventions

Arm	Type	Interventions	Description
LV function from cardiologist	Active comparator	Other: Easy EF	Certified Cardiologist will access and interpreted LV function by used traditional Echocardiography then separate result into three group Preserved LV ejection fraction(EF>50%), mildly reduce ejection fraction(EF40-49%), reduced LV ejection fraction(EF<40%)
LV function By artificial intelligence	Experimental	Other: Easy EF	AI will access VDO clips in only parasternal long axis view and separate into three group Preserved LV ejection fraction(EF>50%), mildly reduce ejection fraction(EF40-49%), reduced LV ejection fraction(EF<40%)

Easy EF (Other), also known as artificial intelligence, mobile smart phone application: AI was integrated into the application smartphone and used smartphone camera to recorded shot VDO clip of heart ultrasound in parasternal long axis view and returned cardiac function result to user.

+Outcome measures

Primary outcomes

efficiency of AI in screening left ventricular cardiac function by use smartphone application [3 month]: percentage of correct LV function clip that interpreted by AI in each LV function group(Preserved LV, Mildly reduced LV, Reduced LV function) and overall compare with result from certified cardiologist

+Eligibility

Sex: All, accepts healthy volunteers

Inclusion Criteria:

* Shot 5 second VDO clip of Parasternal long axis heart ultrasound recorded by smartphone Application "Easy EF" without patient identification with result of Ejection fraction that performed by certify cardiologist approved result

Exclusion Criteria:

* Incomplete VDO clip (too much shaking, too shot recording)
* Lighting was inappropriate
* Inappropriate ultrasound framing
* arrhythmia (atrial fibrillation)

+Locations (1)

Facility	City	Country	Status
Rayong Hospital	Rayong	Thailand

My Notes

Public

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