from recorded provider-patient conversation to medical note with medical coding
The association of demographic factors with negative descriptors in medical text
Vocabulary-based detection of fall events in Dutch clinical notes.
A web based system that uses deep learning to diagnosis patients based on their clinical notes.
Research Practical and Master Thesis topic for the University of Luxembourg. Natural language processing pipeline to extract HPO terms from clinical notes or EHR, annotate genes and diseases to the extracted terms and prioritize them by their frequency.
Ideas around our team's submission to the 5 day gen ai intensive course capstone project.
A multi agent healthcare assistant system implemented using Python and Langgraph. The agents include icd10 code extractor, SOAP document generator and medical image report generator. This project uses one of the latest LLMs, MedGemma model.
The VisualPT Seed - Capture, Analysis & Documentation iOS App 🚶♂️🚶♀️
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain (ACL-IJCNLP '21)
The deployment of Artificial Intelligence for the understanding of common text-based tasks in the healthcare sector is key to extraordinary advancement. Electronic Health Records (EHR) are stored in the health care system in an unstructured and categorically distributed way. We have a ICD-9 Labeled data which is being used to find attention on c…
Laboratory 9 - Retrieval Information
A tool for automatically labelling discharge summaries into disease categories.
Clinical Note Processing Pipeline Driver and Framework
Repository of FHIR and annotation resources used to benchmark NLP Sandbox tools
Estimate sentiment in clinical notes via keywords or deep learning models
Abbreviation disambiguation (AD) in clinical notes using concept embedding model (Marta Skreta) and convolutional neural network baseline (Jacob Kelly).
Code and Datasets for the paper "TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding", accepted by AIME 2021.
A web based system that uses deep learning to diagnosis patients based on their clinical notes
Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes
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