medical-informatics

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

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

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

System for Medical Concept Extraction and Linking

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.

Biomedical NLP Corpus or Datasets.

Code for analyzing medical images saved as .dicom files

An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

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

Precision psychophysiology made easy

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

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

[NeurIPS 2025] ExGra-Med: Medical Multi-Modal LLM with Extended Context Alignment