The most popular open source electronic health records and medical practice management solution.

Deep Learning Papers on Medical Image Analysis

Monorepo that holds all of HospitalRun's v2 projects.

Dicoogle - Open Source PACS

System for Medical Concept Extraction and Linking

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

A generalizable application framework for segmentation, regression, and classification using PyTorch

Code and pretrained model for paper "Learning to Summarize Radiology Findings"

An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.

Code for analyzing medical images saved as .dicom files

Biomedical NLP Corpus or Datasets.

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

FHIR Python Analysis Client and Kit (FHIRPACK) is a general purpose FHIR client that simplifies the access, analysis and representation of FHIR and EHR data using PANDAS, an ETL philosophy and a functional syntax. It was initially developed at the IKIM and HDDBS in Germany. Read more at https://zenodo.org/record/8006589

A matlab suite for Psycho-Physiological Modelling

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

NephroDoctor: A simple Medical Expert System written in Prolog

OncoText is an information extraction service for breast pathology reports. It supports over 20 categories including DCIS, includes pretrained models, and supports flexible addition of new categories, new training data, and parsing new reports.