An open source openEHR server

Personal Cancer Genome Reporter (PCGR)

面向中文电子病历的命名实体识别

MNE-CPP: A Framework for Electrophysiology

Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.

An electronic data capture platform for administering remote and in-person clinical instruments

Official Codes for "Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes"

Healthcare and biomedical datasets, for AI/ML

A comprehensive cancer DNA/RNA analysis and reporting pipeline

Characterization of Germline variants

Clinically Adapted Model Enhanced from LLaMA

A collaborative learning framework for empowering biomedical research

Medkey Hospital Information System main repository: Practice Management for Practicioners & Hospitals, EHR, Patient Engagement

Mutation Identification Pipeline. Read the latest documentation:

[ACL 2024] This is the code for our paper ”RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records“.

Integrating AI to Clinical Workflow

A reported 96,480 people were diagnosed with melanoma in the United States in 2019, leading to 7230 reported deaths. Early-stage identification of suspicious pigmented lesions (SPLs) in primary care settings can lead to im- proved melanoma prognosis and a possible 20-fold reduction in treatment cost. Despite this clinical and economic value, eff…

OpenScribe is an open-source AI scribe that records patient encounters to generate and summarize structured clinical notes. OpenScribe is fully customizable and local-first, giving you complete control over your data, workflows, and patient privacy.

Official source for Spanish pretrained biomedical and clinical language models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

Tool-set to support Bayesian evidence synthesis in R