Prenatal exams miss 66% of heart defects. Using a pre-trained vision model accelerated R&D to secure FDA clearance in 2 years.
A medical technology company founded by pediatric cardiologists focuses on detecting congenital heart defects in fetal hearts measuring less than one centimeter.
Only 34% of congenital heart defects are detected prenatally due to the complexity of ultrasound exams and the high level of expertise required. The...
“We haven’t seen anything which comes close in terms of the ratio between performance and inference speed, and so DINOv2 has been a great tool for us. We are pleased with our rapid product development traction so far, and now the goal is to get it in the hands of clinicians to accelerate improved patient care.”
BrightHeart's Ultrasound video analysis is part of this use case:
AI platform for fetal heart screening during prenatal ultrasound exams.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
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Matching patients to 10,000 global trials was slow and manual. Now, LLMs cross-reference medical records to find pre-approval therapies.
Predicting a single protein binding took 2,000 hours. Deep learning models now complete the task in just 15 minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Agents manually priced 100-item email requests. AI now extracts data and drafts quotes, leaving humans to validate rather than type.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Prenatal exams miss 66% of heart defects. Using a pre-trained vision model accelerated R&D to secure FDA clearance in 2 years.
A medical technology company founded by pediatric cardiologists focuses on detecting congenital heart defects in fetal hearts measuring less than one centimeter.
Only 34% of congenital heart defects are detected prenatally due to the complexity of ultrasound exams and the high level of expertise required. The...
“We haven’t seen anything which comes close in terms of the ratio between performance and inference speed, and so DINOv2 has been a great tool for us. We are pleased with our rapid product development traction so far, and now the goal is to get it in the hands of clinicians to accelerate improved patient care.”
BrightHeart's Ultrasound video analysis is part of this use case:
AI platform for fetal heart screening during prenatal ultrasound exams.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Matching patients to 10,000 global trials was slow and manual. Now, LLMs cross-reference medical records to find pre-approval therapies.
Predicting a single protein binding took 2,000 hours. Deep learning models now complete the task in just 15 minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Agents manually priced 100-item email requests. AI now extracts data and drafts quotes, leaving humans to validate rather than type.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.