BrightHeart

What BrightHeart does

BrightHeart provides AI solutions for prenatal ultrasound, specifically the B-Right AI Platform, which supports exam completeness and confident interpretation. The platform empowers clinicians and sonographers to conduct comprehensive and standardized expert-level assessments during routine prenatal ultrasound exams. It aims to deliver expert-level screening, ensure exam completeness, and save time. The company's mission is to empower perinatal healthcare professionals with innovative AI solutions that enhance the accuracy and efficiency of ultrasound assessments, ultimately improving patient outcomes.

Products

• B-Right AI PlatformA standalone AI platform that integrates seamlessly into existing ultrasound workflows, providing automatic image and cine clip analysis, live AI assessment of full exam completeness, and detailed AI evaluation of fetal heart structures.
• B-Right Screen Fetal Heart V1An AI-powered analysis tool for key structural markers to quickly and confidently identify signs of severe congenital heart defects. It is a machine learning-based decision support system, indicated as an adjunct to fetal ultrasound examination in pregnant women anatomic ultrasound exams, and is a Class II FDA-cleared and Class IIa CE marked medical device.
• B-Right Views Fetal Heart V1An AI-driven protocol completion tracking system to ensure exam completeness and automated AI detection of standard fetal heart views for comprehensive scans. It is a machine learning-based decision support system, indicated as an adjunct to fetal ultrasound examination in pregnant women anatomic ultrasound examinations, and is a Class II FDA-cleared and Class IIa CE marked medical device.
• B-Right Views V2Under development, this product will include extensions for other anatomy such as the brain and new features.

Key capabilities

• AI-powered analysis of key structural markers
• Automatic AI-driven protocol completion tracking
• Automated AI detection of standard fetal heart views
• Automatic image and cine clip analysis and processing using AI algorithms
• Live AI assessment of full exam completeness during the ultrasound capture
• Detailed AI evaluation of fetal heart structures, highlighting abnormal findings or confirming their absence
• Easy-to-deploy
• Seamless integration with existing workflows
• Compatibility with major ultrasound manufacturers and existing reporting solutions
• Automatic display on cart-side tablet during scan
• Results summarized and linked in reporting software
• Detailed assessments on standalone web platform

Use cases

• Expert-level screening of complex anatomy in prenatal ultrasounds
• Ensuring exam completeness during prenatal ultrasounds
• Identifying signs of severe congenital heart defects
• Optimizing workflow across the full scan
• Improving efficiency and accuracy of fetal heart ultrasound evaluation
• Supporting clinical teams in ultrasound workflows

AI approach

BrightHeart's B-Right AI Platform uses AI algorithms for automatic image and cine clip analysis and processing in prenatal ultrasounds. It provides live AI assessment of exam completeness and detailed AI evaluation of fetal heart structures, highlighting abnormalities or confirming normality. The platform includes B-Right Screen for expert-level screening of complex anatomy and B-Right Views for optimized workflow and protocol completion tracking.

Tech named: AI algorithms, machine learning-based decision support system

Industries served

• Healthcare

What it says sets it apart

• Delivers expert-level screening with high detection rates for major CHDs and reduced false-positive/negative errors
• Optimizes workflow with significant reduction in incomplete fetal heart scans and faster reading times
• Seamless integration into any existing workflow as a plug and play solution
• Developed with the guidance of leading fetal heart specialists
• Supported by robust peer-reviewed evidence
• FDA-cleared and CE marked medical devices

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.