Resources
44 results for "medical text"
Database
Credentialed Access
MedVAL-Bench: Expert-Annotated Medical Text Validation Benchmark
MedVAL-Bench is a dataset containing physician evaluations of errors in language model (LM)-generated medical text. The dataset spans 6 diverse medical text generation tasks and includes annotations from 12 physicians on clinically significant error…
Database
Credentialed Access
Deidentified Medical Text
Available here is a gold standard corpus of 2,434 nursing notes that have been thoroughly deidentified by a multi-pass process that included meticulous reviews by three or more experts working independently, as well as by a variety of automated meth…
Database
Credentialed Access
EHR-DS-QA: A Synthetic QA Dataset Derived from Medical Discharge Summaries for Enhanced Medical Information Retrieval Systems
This dataset was designed and created to enable advancements in healthcare-focused large language models, particularly in the context of retrieval-augmented clinical question-answering capabilities. Developed using a self-constructed pipeline based …
Database
Credentialed Access
MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation
The VeriFact-BHC dataset is designed to verify the factuality of long-form text written about a patient against their own electronic health record. There is increasing interest in using large language models (LLMs) to generate clinical text in patie…
natural language processing
clinical informatics
formal logic
chart review
text embedding
artificial intelligence
brief hospital course
long-form text
llm evaluation
logical atomism
retrieval-augmented generation
text reranking
clinical medicine
atomic claim
fact verification
hybrid retrieval
llm-as-a-judge
large language models
electronic health records
clinical notes
Database
Credentialed Access
Medical Expert Annotations of Unsupported Facts in Doctor-Written and LLM-Generated Patient Summaries
Large language models in healthcare can generate informative patient summaries while reducing the documentation workload of healthcare professionals. However, these models are prone to producing hallucinations, that is, generating unsupported inform…
Database
Credentialed Access
MIMIC-IV-Ext-MedicalBench: Evaluating Large Language Models Towards Improved Medical Concept Extraction
Medical concept extraction from electronic health records underpins many downstream applications, yet remains challenging because medically meaningful concepts, such as diagnosis, are frequently implied rather than explicitly stated in medical narra…
Database
Credentialed Access
RuMedNLI: A Russian Natural Language Inference Dataset For The Clinical Domain
There is a shortage of text medical resources for the Russian language. This is a substantial obstacle in state-of-the-art NLP deep learning models research and development. To mitigate this issue we translated the MedNLI data from English to Russia…
Database
Credentialed Access
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark
Automatic medical report generation (MRG) towards describing life-threatening lesions from given medical images, such as Chest X-ray and Fundus Fluorescein Angiography (FFA), has been a long-standing research topic in machine learning and automatic …
Software
Open Access
De-Identification Software Package
The deid software package includes code and dictionaries for automated location and removal of protected health information (PHI) in free text from medical records.
Database
Credentialed Access
Annotated Question-Answer Pairs for Clinical Notes in the MIMIC-III Database
Clinical question answering (QA) (or reading comprehension) aims to automatically answer questions from medical professionals based on clinical texts. We release this dataset, which contains 1287 annotated QA pairs on 36 sampled discharge summaries …