A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation

[ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models".

Fact Verification for Clinical Notes with LLMs

Multitask Learning with Pretrained Transformers

The project is in the incubation stage and still under development. ForteHealth is a flexible and powerful ML workflow builder for biomedical and clinical scenarios. This is part of the CASL project: http://casl-project.ai/

Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text, ClinicalNLP workshop at EMNLP 2020

基于自然语言处理的智能医疗诊断系统

Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)

Estimate sentiment in clinical notes via keywords or deep learning models

Evidence-synthesis RAG assistant for TCM practitioners — hybrid vector + knowledge graph retrieval over 17 classical texts, with query classification, self-critique verification, and blind A/B arena evaluation.

AI psychiatrist assistant for measuring depression symptoms from clinical interview transcripts

A lightweight clinical large language model (LLM) for cognitive decline detection from clinical notes. The project includes synthetic EHR data for rapid validation and experimentation. The paper was published in Journal of Biomedical Informatics: CD-Tron: Leveraging Large Clinical Language Models for Early Detection of Cognitive Decline from EHR

Open-source clinical safety signal detection for behavioral health systems. Text in. Flags out. Clinician decides.

Medical-QA-Chatbot-Using-PySpur-RAG-and-LLMs

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)

SpaCy component for modifying the string of a doc before tokenizing.

A sectioning tool for clinical notes using fine-tuned LLMs

Developing a system to match eligible patients to ongoing clinical trials using Vector Embeddings and LLMs!

Train, and fine-tune transformer models on huggingface for tasks involving electronic health records (EHR) and laboratory data