Browse Publications

Non-Cardiopulmonary

Use of a Digital Stethoscope to Evaluate Arteriovenous Fistulae Before and After Intervention

Journal of the American Society of Nephrology
Cardiology

Foundation Models for Cardiovascular Disease Detection via Biosignals from Digital Stethoscopes

npj Cardiovascular Health
Cardiology

Artificial Intelligence Guided Screening for Cardiomyopathies in an Obstetric Population: A Pragmatic Randomized Clinical Trial

Nature Medicine
Cardiology

Real-World Deployment Success of an AI-Enabled Heart Disease Detection Platform: A Case Study

Journal of the American College of Cardiology
Veterinary Medicine

Evaluation of a Digital Stethoscope for Electrocardiographic Recording in Donkeys: Preliminary Results

Journal of Equine Veterinary Science
Pulmonology

Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study

IEEE Journal of Biomedical and Health Informatics
Cardiology

Real World Evaluation of an Artificial Intelligence Enabled Digital Stethoscope for Detecting Undiagnosed Valvular Heart Disease in Primary Care

Circulation
Cardiology

Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease

Journal of the American Heart Association
Pediatrics

Feasibility of Digital Stethoscopes in Telecardiology Visits for Interstage Monitoring in Infants with Palliated Congenital Heart Disease

Pediatric Cardiology
Pulmonology

Deep Learning Diagnostic and Severity-Stratification for Interstitial Lung Diseases and Chronic Obstructive Pulmonary Disease in Digital Lung Auscultations and Ultrasonography: Clinical Protocol for an Observational Case-Control Study

BMC Pulmonary Medicine
Cardiology

Screening for Peripartum Cardiomyopathies Using Artificial Intelligence in Nigeria (SPEC-AI Nigeria): Clinical Trial Rationale and Design

American Heart Journal
Telehealth

Human-Like Tele-Health Robotics for Older Adults – A Preliminary Feasibility Trial and Vision

Journal of Rehabilitation and Assistive Technologies Engineering

Partner with Eko on a research project.