Improving confidence in fetal heart evaluation with AI

Ensure comprehensive ultrasound evaluation of the fetal heart, with greater reassurance, by screening for signs suspicious for congenital heart defects

Our clinical-grade AI was developed with over 50,000 fetal ultrasound examinations

Assessment of fetal heart evaluation completeness

Automated recognition of standard views

Screening for signs suspicious for fetal heart defects

Automated evaluation of fetal heart morphological signs suspicious for severe fetal heart defects, described by guidelines and clinical research

Name of the product – seamlessly integrates into your workflow

We prioritize seamless integration into existing workflows, ensuring transparency without the need for additional tools or software.

  • Standard DICOM format

  • On-site pseudonymization - No PHI sent to BrightHeart cloud

  • Device outputs formatted as DICOM files, compatible with any DICOM viewer

  • Intuitive report to rapidly identify standard views and signs suspicious for congenital heart defects

  • Fast processing with results available within minutes

The BrightHeart AI Science

Our clinical-grade AI is a powerful tool designed to assist in fetal heart evaluation during prenatal ultrasound examination providing highly accurate results.

Data driven precision

Developed with over 50,000 fetal heart examinations from the 2nd trimester.

Built with contributions from 46+ centers across Europe, the US, and ... North Africa, from a large variety of ultrasound machines, to ensure AI robustness on a large diversity of cases.

A unique screening method

  • Build for obstetricians, developed by fetal cardiologist

  • Screen for severe congenital heart defects with high sensitivity

  • Optimized list of suspicious signs, easy to understand and review

  • Optimized display to facilitate workflow

Powered by AI

Advanced system of neural networks developed to:

  • Assess completeness of the examination

  • Identify signs suspicious for congenital heart defects, requiring attention

The BrightHeart AI-enabled solution supports every clinician with the comprehensive evaluation of the fetal heart

Developed in collaboration with pediatric cardiologists and OB-GYNs

Exam Completeness Evaluation

Automatic detection of standard views required during fetal heart examination.

Evaluation of fetal heart morphology

Automated analysis of key "findings" to quickly rule out or confidently identify signs of severe congenital heart defects.

"The introduction of BrightHeart AI into prenatal screening has the potential to shift the paradigm in how we detect CHD. BrightHeart’s software not only has the potential to enhance the accuracy of prenatal heart assessments, but it can also give clinicians greater confidence in identifying subtle and complex defects earlier."

Jennifer Lam-Rachlin, MD, Maternal-Fetal Medicine
MFM Associates, NY – Carnegie Imaging for Women