+ 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 + +