Butterfly Garden: AI Marketplace
Grow the future of Ultrasound AI.
Access Butterfly’s Software Development Kit (SDK) to build custom AI apps for Butterfly Garden:
an AI Marketplace for Butterfly users to discover new capabilities.
Access Butterfly’s Software Development Kit (SDK) to build custom AI apps for Butterfly Garden:
an AI Marketplace for Butterfly users to discover new capabilities.
Create with the Butterfly platform, the world’s first semiconductor-based, whole-body ultrasound.
Developer Kit for your application to access images captured and control gain, depth, and preset of the Butterfly iQ+.
The world’s only single-probe, whole-body handheld device, powered by Ultrasound-on-Chip™ technology.
Documentation, sample applications, and direct support from Butterfly as you develop your AI.
Bring your app to Butterfly Garden, a premier destination where AI solutions will be available to Butterfly’s customer base – the largest user network in point-of-care ultrasound by market share.1
Augment practitioners with tools to support image acquisition assistance, automatic clinical measurements, and clinical decision support.
Enhance education and training for learners and students with just-in-time education, learning, and other simulation tools.
Reach new clinical environments, such as patient homes or under-resourced global settings.
Integrate ultrasound into new modalities, such as augmented reality, virtual reality, and robotics.
The application listed below is currently under development and is not yet available for commercial use.
The University of North Carolina at Chapel Hill (UNC) developed an AI-powered Gestational Age Estimation tool using the Butterfly platform, with funding from the Bill & Melinda Gates Foundation. UNC’s AI algorithm automatically calculates fetal gestational age from a set of simple abdominal sweeps with the Butterfly iQ+ probe–driving more accurate prenatal testing.
Get in touch today.
1Harras S, Hassan M. 2022 Handheld DeepDive Report: Point of Care Clinical Application Trends. Signify Research. 2022 (section 3.2c, page 38)