Klinische beslissingsondersteuning

Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.

Electronic health records and medical practice management solution.

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.

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

Real-time multi-physics simulation with an emphasis on medical simulation.

Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas

MedTimer Android app

The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.

A curated list of medical LLMs, multimodal systems, datasets, benchmarks, and more. 🏥

The largest open-source medical AI skills library for OpenClaw🦞.

Weasis is a web-based DICOM viewer for advanced medical imaging and seamless PACS integration.

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

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.

MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025

让医疗机构所有大模型流量：PHI 不外泄 · 模型走白名单 · 全量可审计 · 成本可控。

⚡High Performance DICOM Medical Image Parser in Go.

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测)

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.

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents

Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes.

Java诊断工具

A Model Context Protocol (MCP) server providing AI assistants with access to healthcare data and medical information tools, including FDA drug info, PubMed, medRxiv, NCBI Bookshelf, clinical trials, ICD-10, DICOM metadata, and a medical calculator.

AMI Medical Imaging (AMI) JS ToolKit

Android library to create beautiful surveys (aligned with ResearchKit on iOS)

tracking medical datasets, with a focus on medical imaging

YouPeriod.app -- the privacy-first period tracking app

Functioning Doctor/Healthcare Catalog App created using Dart with Flutter. Stores and loads data from Firebase Firestore DB.

SOTA medical image segmentation methods based on various challenges

🩺 首个会看胸部X光片的中文多模态医学大模型 | The first Chinese Medical Multimodal Model that Chest Radiographs Summarization.

A beautiful 😍 covid-19 app with self - assessment and more.

🏆 World Runner-Up project of International Flutter Hackthon 2020. "Donate Plasma" is a prototype apps built with flutter for the purpose of connecting COVID-19 patients and the patients recently recovered from COVID-19 willing to donate their plasma for effective treatment. In this application, plasma donors will also be able to share their story of fighting COVID-19 to motive others staying strong mentally.

Open sourece medical books in LaTeX. LaTeX写的中文开源医学书籍

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set

• This is a patient doctor appointment booking WebApp. Patient signs in using google account and Doctor needs to register prior in the system to login. • Patient can book appointment in slot and calendar event with meeting link will be created. • It also has Feedback, JWT Authentication and payment feature. • Tech Stack: React.js, Node.js, Express.js, MongoDB, Trie