Privacy focused AI powered meeting intelligence using locally hosted Small Language Models. StenoAI Med for structured clinical notes coming soon.

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: The C++ framework for real-time functional brain imaging.

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

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.

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“.

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…

Integrating AI to Clinical Workflow

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).