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Heart Murmurs clinical trials

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NCT ID: NCT06155643 Recruiting - Heart Murmurs Clinical Trials

EKO SENSORA: Detecting Clinically Significant Murmurs

EkoNM
Start date: October 26, 2023
Phase: Early Phase 1
Study type: Interventional

The Eko Artificial Intelligence (AI) has primarily been evaluated in the primary care setting. The digital stethoscope records a phonocardiogram of heart sounds of the patient and uses machine learning artificial intelligence to identify if there are abnormalities present (Eko Health, 2023). The Eko SENSORA will be tested in the emergency department. Chest pain, fatigue, shortness of breath and syncope are all symptoms that could indicate a cardiac dysfunction. The hypothesis is that this device will allow us increased ability to detect valvular heart disease that is clinically significant.

NCT ID: NCT05459545 Recruiting - Atrial Fibrillation Clinical Trials

Real-World Evaluation of Eko Algorithms in a Point of Care Setting

Start date: April 15, 2022
Phase:
Study type: Observational

The purpose of this research is to prospectively test and validate the utility of Eko artificial intelligence (AI) plus Eko Murmur Analysis Software (EMAS) murmur characterization in algorithm in a real world, point-of-care setting.

NCT ID: NCT05176899 Recruiting - Heart Murmurs Clinical Trials

Real-World Evaluation of Eko Murmur Analysis Software in a Point of Care Setting

Start date: March 11, 2022
Phase:
Study type: Observational

The purpose of this research is to evaluate the impact of Eko AI plus EMAS (Eko Murmur Analysis Software) on a clinician's referral decision in a real-world primary care setting. There is an additional objective of understanding patient outcomes when patients are referred for cardiology follow-up and/or echocardiogram.

NCT ID: NCT04483154 Recruiting - COPD Clinical Trials

Perry Virtual - A Prospective and Observational Rural Health Trial

Start date: August 1, 2020
Phase:
Study type: Observational

The principal objective of the study is to determine if patient-empowered, real-time and home- based patient monitoring of vital parameters can lead to: - Reduction in admission rates and improved clinical management of chronically ill patients - Reduction in use of medications - Reported quality of life A minimum of 100 patients will be recruited, monitored and observed over 6 months from home with the Coala Heart Monitor. The study population will be representative of rural, high-risk, Medicare (65+ of age) subjects with chronic conditions and will be recruited by the Perry Community Hospital in Linden, TN.