Project-MONAI / MONAI
AI Toolkit for Healthcare Imaging
Project-MONAI / MONAI
ResearchKit / ResearchKit
ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.
maziyarpanahi / openmed
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.
openemr / openemr
The most popular open source electronic health records and medical practice management solution.
OHIF / Viewers
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
snap-stanford / Biomni
Biomni: a general-purpose biomedical AI agent
M-3LAB / awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
llm-as-a-verifier / llm-as-a-verifier
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.
medplum / medplum
Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.
Slicer / Slicer
Multi-platform, free open source software for visualization and image computing.
TorchIO-project / torchio
Medical imaging processing for AI applications.
Tencent / MedicalNet
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.
openmedlab / Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
iiab / iiab
Internet-in-a-Box - Build your own LIBRARY OF ALEXANDRIA with a Raspberry Pi !
openmrs / openmrs-core
OpenMRS API and web application code
ivmartel / dwv
DICOM Web Viewer: open source zero footprint medical image library.
sunlabuiuc / PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
InsightSoftwareConsortium / ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Awesome-Image-Registration-Organization / awesome-image-registration
image registration related books, papers, videos, and toolboxes
ANTsX / ANTs
Advanced Normalization Tools (ANTs)
mohitagw15856 / pm-claude-skills
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-claude-skills add.
nroduit / Weasis
Weasis is a web-based DICOM viewer for advanced medical imaging and seamless PACS integration.
thetahealth / mirobody
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.
JunMa11 / MICCAI-OpenSourcePapers
MICCAI 2019-2026 Open Source Papers
sofa-framework / sofa
Real-time multi-physics simulation with an emphasis on medical simulation.
AgenticHealthAI / Awesome-AI-Agents-for-Healthcare
Latest Advances on Agentic AI & AI Agents for Healthcare
fo-dicom / fo-dicom
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
cornerstonejs / cornerstone3D
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
commontk / CTK
A set of common support code for medical imaging, surgical navigation, and related purposes.
adalca / medical-datasets
tracking medical datasets, with a focus on medical imaging
Project-MONAI / MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
ANTsX / ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Geant4 / geant4
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
dipy / dipy
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.
xinxuxin / keystone-bench
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.
MITK / MITK
The Medical Imaging Interaction Toolkit.
deepinv / deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
invesalius / invesalius3
3D medical imaging reconstruction software
aaryansamanta / ai-research-publications
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.
MIC-DKFZ / nnDetection
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.
genomoncology / biomcp
BioMCP: Biomedical Model Context Protocol
MEONMedical / Log4Qt
Log4Qt - Logging for the Qt cross-platform application framework
Futsch1 / medTimer
MedTimer Android app
albumentations-team / AlbumentationsX
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Enet4 / dicom-rs
Rust implementation of the DICOM standard
medic / cht-core
The CHT Core Framework makes it faster to build responsive, offline-first digital health apps that equip health workers to provide better care in their communities. It is a central resource of the Community Health Toolkit.
TissueImageAnalytics / tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
afairgiant / MediKeep
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.
FAST-Imaging / FAST
A framework for high-performance medical image processing, neural network inference and visualization
microsoft / dicom-server
OSS Implementation of DICOMweb standard
Gen-Verse / JEPA-Anything
JEPA-Anything: Learning Predictive Models across Different Worlds
l5769389 / voxenra
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
ruoyuw22-byte / NeuroMorph-Assessment
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
wilbert-MD-PhD / medical-illustration
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.
Gaoyuan-0423 / biomedical-paper-reader
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。
Yoosseph / dental-scope
Explore teeth, jaws, nerves, tissues, root canals, cross-sections and layered dental structures in 3D.
Ali-Marandi / Medical-Diagnosis-Assistant
AI-Powered Medical Diagnosis Assistant
VictorButoi / FleXray
FleXray: Universal Clinical X-ray Segmentation
JkingYu / DiffExplorer
Differential analysis tool for coding-free researchers – instant statistical results and charts, ready for your lab meeting. Just unzip and run! No-coding!