Cardiac Amyloidosis Detection
First AI-powered cardiac amyloidosis detection combining deep learning with guideline-based measurements
Company profile
Company profile
Us2.ai (Eko.Ai Pte Ltd.) is a medical AI company specializing in automated echocardiography analysis. The company's FDA-cleared and CE-marked platform serves as an AI Echo Copilot that transforms cardiac ultrasound workflows by delivering fully automated echo reporting from DICOM upload to structured clinical report in under two minutes, with zero manual clicks required. The platform addresses critical bottlenecks in echo labs where reporting time limits throughput and specialist availability restricts patient access. Us2.ai's technology performs real-time processing of echocardiograms, automatically generating measurements, disease detection, and clinical findings without requiring frame selection or manual annotations. The system integrates seamlessly with existing infrastructure including ultrasound devices, PACS, CVIS, and EMR systems, available in both cloud and on-premise deployment models. The platform covers multiple cardiac conditions including cardiac amyloidosis (featuring first-of-its-kind AI-powered detection), heart failure, aortic stenosis, pulmonary hypertension, and provides advanced capabilities like strain analysis and stress echocardiography. Clinical evidence demonstrates a 70% reduction in reporting time and approximately 75% faster diagnosis time. Us2.ai serves cardiologists, sonographers, hospitals, and clinical trial core labs across 28+ countries with over 500 hospitals and 1 million scans analyzed. The company has published research in leading journals including Nature Communications, The Lancet Digital Health, European Heart Journal, JACC, and Circulation.
Company description Eko.Ai Pte Ltd. D/B/A Us2.Ai official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Hybrid deployment with recorded integration context.
Recorded integration context: Canon Medical Systems, CVIS, EMR/EHR, Fujifilm, GE HealthCare, Merge, PACS, Ultrasound devices (DICOM-compliant), Viz.ai.
Company milestones
First-of-its-kind AI-powered cardiac amyloidosis detection (FDA cleared and CE marked). Over 1 million scans analyzed across 500+ hospitals in 28+ countries. Published in multiple top-tier medical journals.
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
First AI-powered cardiac amyloidosis detection combining deep learning with guideline-based measurements
Automated echo core lab services for clinical trials with zero inter-reader variability
Retrospective analysis of archived echocardiograms for undetected disease
FDA-cleared AI echocardiography software for automated echo reporting
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
No linked records are currently available.
Clinical validation
No linked records are currently available.
Regulatory
K250151 · 510k · Jun 20, 2025
Us2.v2K233676 · 510k · Apr 1, 2024
Us2.v1K210791 · 510k · Jul 27, 2021
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Peer-reviewed reporting-time study
Clinical deployment results
Randomized controlled trial
University of Medicine & Pharmacy Hospital HCMC
Automated core lab workflow
Clinical trial core lab applications
Echocardiographic analysis in Phase III multicenter trial evaluating vutrisiran in patients with ATTR cardiomyopathy
Standardized echo measurement workflows across all trial sites with ASE-compliant measurements
Echocardiographic analysis in Phase III multicenter trial evaluating vutrisiran in patients with ATTR cardiomyopathy
Standardized echo measurement workflows across all trial sites with ASE-compliant measurements
Echo lab efficiency and reporting automation
70% reduction in reporting time (peer-reviewed study)
Accelerating informed treatment decisions through consistent and fast imaging analysis
Consistent AI-powered imaging analysis enabling faster clinical decisions
Reduction in echocardiography diagnosis time and workload for medical staff
AI shortened diagnosis time from 35-40 minutes to about 10 minutes (~75% reduction)
05 · Leadership
Leadership profiles and professional links from the current Company record.
Marianna Fontana
Professor of Cardiology
Jeremy Slivnick
Assistant Professor
Becky Schwaegler
Cardiac Sonographer Specialist / Lead
Ilya Karagodin
General and Advanced Imaging Cardiologist
Nobuyuki Kagiyama
Associate Professor
Deepak Borde
Cardiac Anesthesiologist
Le Minh Khoi
Associate Professor & Head of Cardiovascular Imaging
Sreekanth Vemulapalli
Associate Professor of Medicine
06 · Company updates
Recent articles published on Eko.Ai Pte Ltd. D/B/A Us2.Ai's official website.
07 · HAIC coverage
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
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Market context
Companies applying AI to cardiovascular disease detection, ECG/EKG analysis, heart failure management, cardiac imaging, arrhythmia detection, or cardiovascular risk assessment. Includes AI-powered cardiac diagnostics, non-invasive hemodynamic monitoring, and tools for early detection and personalized management of heart conditions.
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