physiotwin4d is an open-source CLI tool and Python package for generating personalized physiological digital twins from 3D medical images. It provides workflows for segmentation, registration, and visualization, supporting research and clinical applications in medical imaging. The tool is designed for researchers and developers in the medical imaging field.
In the Frameworks & SDKs space, physiotwin4d takes a focused approach. It focuses on automating the creation of personalized physiological digital twins from complex 3D medical images for research and clinical workflows. It is built as an open-source project for medical imaging researchers. physiotwin4d is open source under the Apache-2.0 license. The product ships for the command line.
Behind physiotwin4d is Project MONAI, and the product first shipped in 2025. Development happens publicly on GitHub with 37 commits in the last 90 days. Key capabilities include 3D image segmentation, deformable registration, and digital twin creation.
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