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54 results for "large language models"

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MIMIC-IV-Ext-DiReCT

Bowen Wang, Jiuyang Chang, Yiming Qian

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…
Published: Jan. 21, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext MIMIC Note Extract: A Large-Scale Structured Dataset Extracted from MIMIC-IV-Note Discharge Summaries

Jonas Kuntzer, Kristian Schwethelm, Conrad Ketzer, et al.

MIMIC is one of the most widely used public hospital datasets for machine learning on electronic health records [3], but its structured tables answer many clinical questions only through coded surrogates, or not at all. For example, a patient's past…
Published: Oct. 21, 2026. Version: 1.0
Database Restricted Access

Swiss-Mammo: A physician-written, synthetic dataset of German mammography reports

Daniel Reichenpfader, Sandro von Däniken, Harald Marcel Bonel

This dataset, Swiss-Mammo, contains 28 manually constructed German mammography reports, each paired with an English translation. The reports are stratified across BI-RADS categories 0 through 6, with four reports per category. All reports were manua…
Published: June 24, 2025. Version: 1.0.1
Database Credentialed Access

MIMIC-CXR-Ext-ReRef: A Radiologist-Validated Dataset of MIMIC-CXR Report Pairs Following Different Reporting Practices

Daniel Jeong, Charles Li, Hossein Hosseiny, et al.

Radiologists follow heterogeneous reporting practices: two radiologists examining the same image and identifying the same clinical findings might nevertheless compose superficially distinct reports, varying in terminology, shorthand, formatting, and…
Published: Oct. 30, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext-Instr: A Dataset of 450K+ EHR-Grounded Instruction-Following Examples

Zhenbang Wu, Anant Dadu, Mike Nalls, et al.

Large language models (LLMs) have shown impressive capabilities in solving a wide range of tasks based on human instructions. However, developing a conversational AI assistant for electronic health record (EHR) data remains challenging due to the la…
Published: Sept. 9, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext Triage Instruction Corpus

Qingyang Shen, Quan Guo

Emergency department (ED) overcrowding leads to delayed care, increased patient risk, and inefficient resource use. The MIMIC-IV-Ext Triage Instruction Corpus (MIETIC) addresses this by providing 9,629 structured triage cases from MIMIC-IV, aligned …
Published: March 4, 2025. Version: 1.0.0
Database Credentialed Access

MIMIC-IV-Ext-DischargeBench: Dataset for Pre-Deployment Evaluation of LLM Discharge Educators through Patient Simulation

Won Seok Jang, Zonghai Yao, Hong Yu

MIMIC-IV-Ext-DischargeBench is a derived dataset of 320 curated hospitalization cases (v1.0.0) built from MIMIC-IV (v3.1) and MIMIC-IV-Note (v2.2). Each case is a structured patient profile drawn from the discharge documentation of a single hospital…
Published: Oct. 29, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-MIMIC-Patient: Structured Per-Patient JSON Records for Clinical Question Answering

Tianqi Shang, Weiqing He, Charles Zheng, et al.

This project provides MIMIC-Patient, a structured, per-patient representation of the MIMIC-III database designed for large language model (LLM)–based clinical question answering. For each of 500 admissions, we reconstruct the patient’s episode into …
Published: Sept. 11, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-SBDH: An annotated social and behavioral determinants of health dataset

Zifan Gu, Lesi He, Donghan Yang

This study presents MIMIC-III-Ext-SBDH, a manually reviewed and consolidated annotation dataset of social and behavioral determinants of health (SBDH) derived from clinical notes in the MIMIC-III database. We previously developed SBDH-Reader, a larg…
Published: Sept. 1, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-VeriFact-BHC: Labeled Propositions From Brief Hospital Course Summaries for Long-form Clinical Text Evaluation

Philip Chung, Akshay Swaminathan, Alex Goodell, et al.

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…
Published: Aug. 27, 2026. Version: 1.1.0