Anatomy Financial

Torchio is a medical imaging processing library for AI applications. It provides tools for image manipulation, augmentation, and analysis. The library is designed to facilitate the development of AI solutions in healthcare. It supports various medical imaging modalities and is useful for researchers and developers in the field.

U-KAN is an open-source PyTorch implementation designed as a backbone for medical image segmentation and generation. It is intended for use in medical research and development. The tool is available on GitHub.

Anthropic Healthcare provides skills for healthcare workflows using Claude code. It includes tools for clinical trials, prior authorization review, and FHIR API development. The platform aims to connect healthcare systems faster with specialized knowledge of HL7 FHIR R4. It supports healthcare data exchange, including resource structures and coding systems.

3DUnetCNN is a Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation. It facilitates the training and application of deep learning models for medical imaging tasks. The tool is designed to be easy to apply and control for various deep learning models.

ANTsPy is a Python library for medical imaging analysis, featuring algorithms for registration and segmentation. It provides tools for advanced normalization and quantitative analysis of medical images. The library is designed for researchers and specialists in the medical imaging field.

Hulu-Med is an open-source AI model designed for holistic medical vision-language understanding. It facilitates research and development in medical imaging and diagnostics. The model is available in multiple sizes and can be accessed via Hugging Face and ModelScope. It supports transparent and generalist approaches to medical AI.