Resources
98 results for "generator"
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
ReXPref-Prior: A MIMIC-CXR Preference Dataset for Reducing Hallucinated Prior Exams in Radiology Report Generation
Generative vision-language models have exciting potential implications for radiology report generation, but unfortunately such models are also known to produce hallucinations and other nonsensical statements. For example, radiology report generation…
Database
Credentialed Access
ReFiSco: Report Fix and Score Dataset for Radiology Report Generation
Automated generation of clinically accurate radiology reports can improve patient care. In order to improve automatic report generation, it is helpful to understand what types of errors are common in generated reports. Thus, we introduce the Report …
Database
Credentialed Access
MIMIC-IV-Ext-GPT-3_5-Generated-Discharge-Summaries-for-Low-Resource-Codes
This dataset comprises 9,606 Synthetic Discharge Summaries generated by GPT-3.5 based on combinations of ICD-10-code descriptions associated with real discharge summaries in MIMIC-IV. As part of the generation process, GPT-3.5 was also tasked to cod…
Database
Open Access
Radiology Report Generation Models Evaluation Dataset For Chest X-rays (RadEvalX)
The Radiology Report Generation Models Evaluation Dataset For Chest X-rays (RadEvalX) is publicly available and developed similarly to the ReXVal dataset. Just like ReXVal, RadEvalX focuses on radiologist evaluations of errors found in automatically…
Database
Credentialed Access
MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters
While increasing patients' access to medical documents improves medical care, this benefit is limited by varying health literacy levels and complex medical terminology. Large language models (LLMs) offer solutions by simplifying medical information.…
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
Credentialed Access
Code for generating the HAIM multimodal dataset of MIMIC-IV clinical data and x-rays
A multimodal combination of the MIMIC-IV v1.0.0 and MIMIC Chest X-ray (MIMIC-CXR-JPG) v2.0.0 databases filtered to only include patients that have at least one chest X-ray performed with the goal of validating multi-modal predictive analytics in hea…
Model
Credentialed Access
Transformer models trained on MIMIC-III to generate synthetic patient notes
Natural Language Processing can help to unlock knowledge in the vast troves of unstructured clinical data that are collected during patient care. Patient confidentiality presents a barrier to the sharing and analysis of such data, however, meaning t…
Database
Restricted Access
CXRGraph: Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation
CXRGraph is a dataset of structured radiology reports dataset following the RadGraph format, which has been tailored for the Automatic Radiology Report Generation (ARRG) task. CXRGraph assorts clinical information from full-text radiology reports in…