Us2.ai

by Us2.ai  · Based in Singapore →Your AI Echo Copilot™ FDA-cleared, fully automated echocardiography analysis.
Cardiology Critical Care Emergency Medicine

Contact for pricing
Regulatory Status Disclosed

Overview

Us2.ai is an FDA-cleared AI software platform that revolutionizes echocardiogram analysis by providing fully automated, zero-click structured reports. It connects to ultrasound devices and PACS, processing echocardiograms in real-time to deliver comprehensive measurements, disease detection, and clinical findings. The platform is designed to minimize manual interventions, reduce reporting time by up to 70%, and improve consistency and accuracy in cardiac diagnostics. Us2.ai supports the detection of a wide array of heart-related conditions, including cardiac amyloidosis, heart failure, aortic stenosis, and pulmonary hypertension, aligning with international guidelines. It also offers unique capabilities for retrospective analysis of archived echocardiograms to uncover undetected diseases at a population level.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Fully automated echocardiography analysis
  • Zero-click structured reports
  • Real-time processing of echocardiograms
  • Automated disease detection (e.g., cardiac amyloidosis, heart failure, aortic stenosis, pulmonary hypertension)
  • Comprehensive automated measurements (2D, Doppler, M-mode, strain analysis)
  • Integration with PACS, CVIS, EMR, and ultrasound devices (DICOM, HL7)
  • Editable AI outputs and annotations
  • Guideline-based reporting (international guidelines)
  • Retrospective echo analysis and EHR mining
  • Enterprise-grade security and compliance (ISO 27001:2022, MDSAP)

Use Cases

  • Automated echocardiogram interpretation and reporting
  • Detection and diagnosis of various cardiac conditions
  • Population-level disease screening from archived echocardiograms
  • Improving efficiency and throughput in echo labs
  • Supporting clinical decision-making for cardiologists and sonographers
  • End-to-end clinical trial echo analysis (Core Lab Solutions)

What Physicians Need to Know

Echocardiography AI Features
Us2.ai provides FDA-cleared, fully automated echocardiography analysis, transforming DICOM images into structured reports in seconds. It performs zero-click analysis, including automated view classification, image quality assessment, segmentation, and quantification of over 150 measurements. The platform supports automated detection and classification of various cardiac conditions such as heart failure (HFrEF, HFmrEF, HFpEF), aortic stenosis, cardiac amyloidosis, pulmonary hypertension, and valvular disease.
Heart Failure Risk Prediction
The tool automates the complete heart failure echo workup, delivering all parameters recommended in international guidelines, including LVEF, GLS, and diastolic function. It can classify heart failure subtypes and has demonstrated 100% sensitivity and 94% specificity against manual diagnosis for AI-assisted heart failure detection from electronic health records. Us2.ai also enables population-level disease screening by reanalyzing archived echocardiograms to uncover undetected heart failure and track disease progression.
Coronary Artery Assessment
Us2.ai offers fully automated, vendor-agnostic global longitudinal strain (GLS) analysis from standard 2D echo, which is a sensitive measure of cardiac function and can support the diagnosis of heart failure and coronary artery disease.
Cardiac Monitoring Integration
The platform seamlessly connects to various ultrasound devices (GE, Philips, Siemens, handheld POCUS), PACS, CVIS, and EMR systems. It supports both cloud and on-premise deployments and delivers structured reports back to existing systems (PACS, CVIS, EMR) via HL7 and DICOM SR. Feasibility studies also explore AI-powered ultrasound for home-based cardiac monitoring.
AHA/ACC Guideline Alignment
Us2.ai provides guideline-directed, structured reporting with integrated international guidelines covering all heart chambers and both 2D and Doppler views. It aligns with criteria from bodies like EACVI/ASE for conditions such as aortic stenosis and uses AHA/ACC guidelines for detecting gradients of hypertrophic cardiomyopathy (HCM).
Real-Time Alert Capability
The system processes echocardiograms in real-time, with results ready in seconds to minutes, often before the patient leaves the exam room. This real-time processing and automated disease detection can facilitate faster diagnosis and enable timely interventions.
Physician Tip

Leverage Us2.ai to significantly reduce echocardiogram analysis and reporting time, freeing up valuable clinician time for patient interaction and complex cases. The fully automated, zero-click workflow enhances consistency and reproducibility of measurements, which is crucial for serial follow-up and population health initiatives. Utilize its capability for early detection of conditions like cardiac amyloidosis and heart failure, even from archived studies, to improve patient outcomes. The platform's support for novice operators with AI-assisted POCUS can expand access to cardiac screening in various care settings. Always review the editable AI outputs and maintain final clinical sign-off, using the AI as a powerful decision support tool.

Us2.ai is designed for seamless integration into existing clinical workflows, connecting with any ultrasound device (GE, Philips, Siemens, handheld POCUS), Picture Archiving and Communication Systems (PACS), Cardiovascular Information Systems (CVIS), and Electronic Medical Records (EMR) via standard DICOM routing, HL7, and DICOM SR. Strategic partnerships include Merge Cardio, Aidoc (integrating Us2.ai into its aiOSu2122 platform), deepc (via deepcOSu00ae), and Fujifilm (for its LISENDO 880 ultrasound system), enabling a comprehensive, end-to-end intelligence layer for cardiac care.

Details

Category Cardiology AI
Pricing Contact for pricing Volume-based pricing model; installation and associated costs vary by configuration
DeploymentCloud or on-premise deployment options
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Us2.ai has received FDA clearance for Us2.v1 (September 2021) and Us2.v2 (April 2024), transforming cardiovascular ultrasound analysis with fully automated decision support for echocardiography, including 45 automated echo parameters and cardiac amyloidosis detection.

Integrations
EHR Not specified
Specialties Cardiology, Critical Care, Emergency Medicine

What the Web Says

Us2.ai is an AI-powered echocardiography analysis software that aims to automate and streamline the interpretation of echocardiograms, providing comprehensive, guideline-based reports with zero clicks. Physicians and sonographers have reported positive experiences, noting improvements in measurement accuracy, workflow efficiency, and a reduction in administrative burden. The platform is FDA-cleared and CE marked, and it integrates with existing hospital infrastructure.

Overall: Positive

Strengths

  • Enhances measurement accuracy and consistency
  • Improves workflow efficiency and reduces reporting time significantly (up to 70% faster)
  • Reduces sonographer fatigue and allows them to focus on image acquisition quality
  • Provides fully automated, comprehensive structured reports with zero clicks
  • Vendor-neutral and integrates with various ultrasound devices, PACS, CVIS, and EMR systems
  • Aids in early detection of conditions like cardiac amyloidosis and heart failure

Limitations

  • Initial concerns about AI replacing clinical roles, though this is being addressed by framing AI as a supportive tool
  • Potential for bias in reviews on platforms like G2 and Capterra, making it challenging to find unbiased feedback
  • Some users on Reddit express general skepticism about AI accuracy and the need for human oversight
  • The taxonomy on some review sites can be rigid, potentially not fitting newer tools
  • Lack of extensive independent user reviews on platforms like G2 and Capterra specifically for Us2.ai

Based on reviews from: Us2.ai, G2, Reddit, Slashdot, The Imaging Wire

Last updated: 2026-07-20

Ratings & Reviews

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Press & Coverage

Us2.ai
Canon Medical Systems USA and Us2.ai Announce Reseller Relationship for AI-Enabled Echocardiography
Canon Medical Systems USA and Us2.ai have partnered in a reseller agreement, allowing Canon to offer Us2.ai's cloud-based AI echocardiography software with its Aplio i-series ultrasound systems. This collaboration aims to broaden the availability of AI-enabled tools for echocardiography and streamline cardiac imaging workflows.
2026-07
Circulation: Cardiovascular Imaging
Integrating Clinical Data with AI Echocardiography for Improved Cardiac Amyloidosis Detection
This international multicenter study, published in Circulation: Cardiovascular Imaging, shows that combining clinical and laboratory data with Us2.Ca deep learning model significantly enhances cardiac amyloidosis detection, achieving 93% sensitivity and 90% accuracy. The integration also eliminates indeterminate classifications, improving diagnostic certainty.
2026-06
International Journal of Cardiology
AI Echo for Post-AMI Risk Stratification: Predicting Outcomes After A Heart Attack
Published in the International Journal of Cardiology, this study of 1,001 AMI patients demonstrates that combining AI-derived echocardiographic parameters with traditional clinical risk factors significantly improves prediction of one-year mortality and major adverse cardiac events, outperforming clinical risk scores alone.
2026-06
Us2.ai
How Us2.ai and Merge Are Bringing AI Echo Directly Into Clinical Workflows
Us2.ai and Merge have partnered to embed Us2.ai's AI directly into the Merge platform, streamlining clinical workflows by eliminating the need for separate logins or extra clicks. This integration aims to help clinicians work faster and more efficiently, ultimately delivering better patient care.
2026-04
FUJIFILM Healthcare Americas Corporation
Fujifilm Partners with Us2.ai to Provide AI-Automated Echocardiography Analysis for Cardiologists and Sonographers Across the Nation
Fujifilm has partnered with Us2.ai to integrate Us2.ai's AI-driven software with Fujifilm's LISENDO 800 cardiovascular ultrasound system. This collaboration aims to automate echocardiogram analysis and reporting, providing comprehensive cardiac measurements and reducing the manual workload for healthcare professionals.
2025-03
Us2.ai
Us2.ai receives FDA clearance for Us2.v2, transforming cardiovascular ultrasound analysis
Us2.ai announced FDA clearance for Us2.v2, an advanced image post-processing analysis software featuring 45 automated echo parameters, including strain analysis. This clearance marks a significant step in medical innovation, aiming to enhance the precision and efficiency of echocardiographic analysis and reduce analysis time.
2024-04
Business Wire
Us2.ai Partners with Leading Academic Medical Center to Collaborate on AI-Enabled Echocardiography Software
Us2.ai has partnered with Duke University to co-develop and commercialize AI tools for echocardiography, aiming for earlier detection, improved diagnosis, and more efficient management of heart disease. This collaboration will further test and refine Us2.ai's technology in diverse clinical settings.
2023-09
Pappas Capital
Us2.ai Secures US$15M Series A To Improve Detection of Cardiovascular Disease
Us2.ai raised US$15 million in a Series A funding round led by IHH Healthcare and Heal Partners, with participation from Pappas Capital and existing investors. The funds will be used to drive Us2.ai's growth targets for clinical implementation in the US, Europe, and Asia, and expand its AI software for echocardiography.
2022-04

Videos

Product demos, reviews, and walkthroughs for Us2.ai.

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Frequently Asked Questions

Us2.ai is an AI-powered platform designed to automate the analysis of echocardiograms, providing fully structured reports with measurements and disease detection, such as heart failure and cardiac amyloidosis. It integrates by connecting to existing ultrasound devices and PACS, processing DICOM images in real-time with minimal clicks, and delivering standardized reports to aid clinical decision-making.
Us2.ai is FDA-cleared (for both Us2.v1 and Us2.v2 versions) and CE Marked (Class IIb), indicating its authorization for clinical use in the United States and Europe. The platform also adheres to global patient data privacy regulations, being HIPAA and GDPR compliant, and holds ISO 27001:2022, SOC 2 Type II, and MDSAP certifications for information security and medical device safety.
While Us2.ai significantly automates echocardiography analysis, it is not intended to replace human expertise, but rather to serve as a decision support tool. The AI may encounter challenges with very rare cases due to dataset limitations, and Us2.v1 has not been validated for congenital heart disease, valve disease, pericardial disease, or intra-cardiac lesions.
Us2.ai operates on a volume-based pricing model, with installation and associated costs varying depending on the specific configuration required for a healthcare facility. For detailed pricing, direct contact with Us2.ai is recommended. Reimbursement pathways exist for specific AI-enabled echocardiography indications that have assigned CPT or HCPCS codes, such as 0932T for HFpEF detection, and coverage applies to these coded indications.
Us2.ai distinguishes itself by offering fully automated, zero-click analysis that delivers a complete structured echo report, unlike some semi-automated tools that focus on single measurements. Studies indicate it can reduce reporting time by up to 70% and improve efficiency compared to manual methods, with accuracy comparable to expert human interpretation.
Us2.ai's technology is supported by over 55 peer-reviewed publications from global multi-center studies, published in leading journals such as The Lancet Digital Health, Nature Communications, JACC, and Circulation. These studies validate its accuracy in various applications, including the detection of cardiac amyloidosis and pulmonary hypertension, and demonstrate significant efficiency gains in clinical workflows.

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Suggest an Edit → | Last Verified: 2026-04-21 | First Added: 2026-04-21
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