Awesome Healthcare

Free and Open Source Enterprise Resource Planning (ERP)

AI Toolkit for Healthcare Imaging

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。

A Deep Learning Python Toolkit for Healthcare Applications.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

OpenBoxes is a warehouse management system designed to manage inventory and track stock movements for healthcare facilities.

Healthcare data infrastructure for next generation care delivery.

Python SMART on FHIR client

C library for reading virtual slide images

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

This is an engine that converts data of one structure to another, based on a configuration file which describes how. There is an accompanying syntax to make writing mappings easier and more robust.

OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.

OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.

Open platform to manage and share standardized clinical data, designed by @ppazos at CaboLabs Health Informatics.

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

A simple EDI 835 file format parser.

A toolkit for evaluating and monitoring AI models in clinical settings

Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.

Python package to provide utilities for NHS Numbers, including validity checks, normalisation, and generation.