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