Ultrasound
Working Group
Mission Statement
This working group will focus on enabling reproducible, scalable AI development for ultrasound within the MONAI ecosystem. Key priorities include harmonizing data formats (e.g., DICOM for B-mode); supporting data streaming (e.g., for RF signals); standardizing annotation formats and labeling protocols for common ultrasound tasks; and defining reusable pipelines for training, inference, evaluation, and deployment. Short-term and long-term priorities and focal clinical applications will be determined by participants of the group. By collaborating with the MONAI developers, the group will move from requirements to implemented solutions.
Initiatives
Broad, long-term initiatives
- • Connectivity with ultrasound devices
- • Data de-identification and pre-processing
- • TotalSegmentator for ultrasound
- • Algorithms for B-mode and RF ultrasound
- • Ultrasound simulation
Current Focus
- • TBD
Future Focus
- • TBD
Group Leads

Tina Kapur
Center Executive Director, Surgical Planning Laboratory
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School
Ultrasound Working Group Chair

Stephen Aylward
Global Lead for Strategic Applied Research, Medical Devices
NVIDIA
Ultrasound Working Group Chair
Collaboration Opportunities
Join and Contribute
- • Join our regular working group meetings
- • Share your ultrasound experience and requirements
- • Participate in defining standards and best practices
- • Contribute your ultrasound AI methods
- • Help shape the future of medical AI for ultrasound