Empowering Cardiac Ultrasound With AI

Our AI-driven software provides real-time guidance and quality assessment to allow healthcare professionals, regardless of sonography proficiency, to confidently perform diagnostic-quality cardiac ultrasound exams.

FDA Cleared

Medical device with regulatory approval

Clinical Validation

Proven in multi-center clinical trials

95% Accuracy

High precision diagnosis support

30,000+ Patients

Successfully scanned and diagnosed

Our AI-Powered Solutions

Simplifying cardiac ultrasound for healthcare providers at all levels of expertise

Real-Time AI Guidance

Our software pairs with point-of-care ultrasound devices and presents guidance instructions as a graphic interface overlaid on the ultrasound screen. Users are guided in real-time on how to maneuver the ultrasound probe to obtain diagnostic-quality cardiac images.

  • 3D guidance with visual probe positioning indicators
  • Continuous real-time feedback on image quality
  • Works with existing ultrasound hardware
  • One-day training to achieve proficiency
AI Guidance Solution
Image-based Guidance

How It Works

1

Image-based Guidance

AI algorithms analyze the ultrasound image in real-time and provide directional guidance for probe positioning

2

Real-Time AI Feedback

Continuous feedback helps users adjust the probe to achieve optimal views of the heart

3

Image Quality Assessment

The system indicates when image quality meets diagnostic standards, allowing the user to save the image

See Our Technology in Action

Advanced AI Technology

Powered by deep learning and computer vision to revolutionize cardiac care

3D Guidance System

Proprietary algorithms create a 3D representation of cardiac structures to guide accurate probe positioning

Real-Time Analysis

Continuous image processing at 30 frames per second ensures immediate feedback during scanning

Adaptive Learning

System continuously improves through machine learning algorithms trained on thousands of clinical scans

Clinical Validation

Our technology has been rigorously tested in multiple clinical settings, demonstrating remarkable results:

95%
Diagnostic Accuracy
90%
Protocol Completion
85%
Time Reduction
99%
User Satisfaction

Our technology has received FDA clearance and CE marking, validating its safety and effectiveness for clinical use.

View detailed case studies
Clinical Validation

Our Expert Team

A diverse group of specialists dedicated to revolutionizing cardiac imaging

UltraSight AI Team

Our Mission

We are a team of best-in-class AI engineers, clinicians, developers, and business experts united in our commitment to improve patient care by leveraging artificial intelligence to transform cardiac ultrasound technology.

By simplifying the process of cardiac sonography, we aim to expand patient access to timely cardiac care, enabling earlier detection and intervention for heart conditions.

Leadership Team

Davidi Vortman

Davidi Vortman

Chief Executive Officer

Over 20 years of experience as a tech entrepreneur, with expertise in scaling innovative healthcare technologies.

Itay Kezurer

Itay Kezurer

Co-Founder & CTO

Expert in geometric deep learning and computer vision, leading the development of our AI algorithms.

Achi Ludomirsky

Achi Ludomirsky, MD

Co-Founder & CMO

Renowned pediatric cardiologist with extensive experience in cardiac imaging and clinical applications.

Yaron Lipman

Yaron Lipman, PhD

Co-Founder & Chief Scientific Officer

Leading researcher in geometric deep learning with extensive experience in medical imaging applications.

Case Studies

Real-world applications and success stories of our technology

Mayo Clinic Implementation

Mayo Clinic partnered with our team to implement AI-guided cardiac ultrasound technology in their clinical workflow. The objective was to evaluate the effectiveness of our system in improving diagnostic capabilities and efficiency.

Challenges

  • Limited availability of specialized sonographers
  • Need for timely cardiac diagnostics
  • Training requirements for new staff

Solution

Implementation of our AI guidance system, allowing medical staff with minimal ultrasound training to perform cardiac scans. The system provided real-time guidance and quality assessment.

Results

94%
Diagnostic accuracy compared to experts
68%
Reduction in scan time
1 Day
Staff training time
30%
Increase in patient throughput
"This AI-guided system has transformed our cardiac imaging workflow, allowing us to see more patients and provide faster diagnoses without compromising on quality."
— Dr. Robert Johnson, Cardiology Department, Mayo Clinic
Mayo Clinic Case Study

Rural Health Centers Implementation

Our technology was deployed across 15 rural health centers that previously had limited access to cardiac diagnostic equipment and specialist expertise.

Challenges

  • No specialized cardiac sonographers on staff
  • Long travel distances for patients to reach specialized facilities
  • Limited medical resources and budget constraints

Solution

Implementation of portable ultrasound devices with our AI guidance software, allowing primary care physicians and nurses to perform cardiac evaluations on-site.

Results

87%
Reduction in referrals to distant specialists
350+
Early cardiac conditions detected
$420k
Estimated annual savings
92%
Patient satisfaction rate
"Before this technology, patients had to travel over 100 miles for cardiac ultrasounds. Now we can provide this essential service right here in our community clinic."
— Dr. Maria Garcia, Director, Riverdale Rural Health Network
Rural Health Case Study

Emergency Department Implementation

Five major urban emergency departments implemented our AI-guided cardiac ultrasound technology to improve triage and early diagnosis in critical care situations.

Challenges

  • Time-critical decisions in emergency situations
  • Varied skill levels among ED staff
  • Limited availability of cardiac specialists during nights and weekends

Solution

Deployment of our AI guidance system in emergency departments, enabling ER physicians to quickly perform cardiac assessments without waiting for specialist consultation.

Results

42 min
Average reduction in diagnosis time
28%
Decrease in cardiac-related admissions
91%
Concordance with specialist review
18%
Reduction in mortality rate
"In emergency medicine, time is tissue. This AI system has given us the ability to make faster, more informed decisions about cardiac patients, potentially saving lives in the process."
— Dr. James Chen, Emergency Medicine Director, Metropolitan Hospital
Emergency Department Case Study

Get In Touch

Discover how our AI-powered solution can transform your cardiac imaging capabilities

Contact Information

Headquarters

One Broadway, 14th Floor
Cambridge, MA 02142
United States

Phone

+1 (617) 555-0123

Email

info@ultrasight.tech

Support

support@ultrasight.tech

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