Resources
51 results for "large language model"
Database
Credentialed Access
Immunosuppressive Condition and Medication Annotations for Admission Notes in the MIMIC-III Database
Immunosuppression due to underlying conditions or immunosuppressive medication use increases the risk of morbidity and mortality in the context of infectious disease. Identifying patients with immunosuppression is important for better studying and u…
Database
Credentialed Access
MIMIC-III-Ext-Notes
Unstructured clinical documentation, such as progress notes, contains rich contextual information critical for clinical decision-making but remains underutilized in computational research due to the limited availability of annotated datasets. The MI…
Database
Credentialed Access
LLaVA-Rad MIMIC-CXR Annotations
LLaVA-Rad MIMIC-CXR features more accurate section extractions from MIMIC-CXR free-text radiology reports. Traditionally, rule-based methods were used to extract sections such as the reason for exam, findings, and impression. However, these approach…
Database
Credentialed Access
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
Recent progress in Large Vision-Language Models (LVLMs) has enabled promising applications in medical tasks such as report generation and visual question answering. However, existing benchmarks focus mainly on the final diagnostic answer, offering l…
Database
Credentialed Access
Medical-CXR-VQA dataset: A Large-Scale LLM-Enhanced Medical Dataset for Visual Question Answering on Chest X-Ray Images
Medical Visual Question Answering (VQA) is an important task in medical multi-modal Large Language Models (LLMs), aiming to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficien…
Database
Restricted Access
MIMIC-IV-Ext-Apixaban-Trial-Criteria-Questions
Large-language models (LLMs) show promise for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, …
Database
Restricted Access
MIMIC-III-Ext-Synthetic-Clinical-Trial-Questions
Large-language models (LLMs) show promise for extracting information from clinical notes. Deploying these models at scale can be challenging due to high computational costs, regulatory constraints, and privacy concerns. To address these challenges, …
Database
Credentialed Access
MIMIC-Ext-DrugDetection
This project shares a large, annotated drug detection dataset created from MIMIC-III/IV discharge summaries. The dataset was developed to address the challenge of identifying substance use behaviors in Electronic Health Records (EHRs), where critica…
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
Restricted Access
MIMIC-IV-Ext-DiReCT
Large language models (LLMs) have recently demonstrated remarkable capabilities across a broad spectrum of tasks and applications, including the medical field. Models like GPT-4 excel in medical question answering but encounter challenges in interpr…