AI Toolkit for Healthcare Imaging
Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes. Apache-2.0 SDK.
Biomni: a general-purpose biomedical AI agent
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
Medical imaging processing for AI applications.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
A Deep Learning Python Toolkit for Healthcare Applications.
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
MONAI Label is an intelligent open source image labeling and learning tool.
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
3D medical imaging reconstruction software
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
A lightweight, self-hosted application for managing your personal medical information. Keep your health records organized and accessible while maintaining complete control over your data privacy.
JEPA-Anything: Learning Predictive Models across Different Worlds
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
面向 Codex、Claude Code 等 AI Agent 的医学绘图 Skill,基于可信证据制作医学插画、科普漫画与科研示意图,提供可编辑成果与审核记录。 · Evidence-backed medical illustration, comics and research figures for Codex, Claude Code and other AI agents, with editable output and review records.
单篇生物医学论文精读 skill:逐图理解研究逻辑、评估证据边界、提炼可检验的课题设计。
AI-Powered Medical Diagnosis Assistant
FleXray: Universal Clinical X-ray Segmentation
Differential analysis tool for coding-free researchers – instant statistical results and charts, ready for your lab meeting. Just unzip and run! No-coding!
HAEnv — synthetic longitudinal patients with code-derived gold, for evaluating health agents over time
Self-hosted, private family AI health steward. Multimodal AI structures health data into a person-centric profile with dashboard & AI consultation (Feishu/Lark integration). 开源可私有化部署的家庭 AI 健康管家:多模态大模型 + 健康画像看板 + AI 咨询 + 飞书渠道。
MRI research guidance for coding agents — composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundry
医考帮执业医师刷题辅助工具
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder