Resources

63 results for "mimic-iv"

Challenge Credentialed Access

MIT Critical Datathon 2023: a MIMIC-IV Derived Dataset for Pulse Oximetry Correction Models

João Matos, Tristan Struja, David S Restrepo, et al.

Pulse oximeters are medical devices used to assess peripheral arterial oxygen saturation ( S p O 2 SpO_2 ) noninvasively. In contrast, the "gold standard" requires arterial blood to be drawn to measure the arterial oxygen saturation ( S a O…
Published: May 8, 2023. Version: 1.0.0
Database Credentialed Access

MIMIC-III Clinical Database CareVue subset

Alistair Johnson, Tom Pollard, Roger Mark

MIMIC-III is a database of critically ill patients admitted to an intensive care unit (ICU) at the Beth Israel Deaconess Medical Center (BIDMC) in Boston, MA. MIMIC-III has seen broad use, and was updated with the release of MIMIC-IV. MIMIC-IV conta…
Published: Sept. 21, 2022. Version: 1.4
Database Credentialed Access

MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images

Seongsu Bae, Daeun Kyung, Jaehee Ryu, et al.

We introduce MIMIC-Ext-MIMIC-CXR-VQA (i.e., Extended from MIMIC database), a complex, diverse, and large-scale dataset designed for Visual Question Answering (VQA) tasks within the medical domain, focusing primarily on chest radiographs. This datase…
Published: July 19, 2024. Version: 1.0.0
Database Credentialed Access

Medical Expert Annotations of Unsupported Facts in Doctor-Written and LLM-Generated Patient Summaries

Stefan Hegselmann, Shannon Shen, Florian Gierse, et al.

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…
Published: April 30, 2025. Version: 1.0.1
Database Restricted Access

MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications

Chihcheng Hsieh, Chun Ouyang, Jacinto C Nascimento, et al.

Deep learning technologies have been widely adopted in medical imaging due to their ability to extract features from images and make accurate diagnoses automatically. Medical imaging technologies are particularly useful because they can be trained t…
Published: March 23, 2023. Version: 1.0.0
Challenge Credentialed Access

Discharge Me: BioNLP ACL'24 Shared Task on Streamlining Discharge Documentation

Justin Xu

"Discharge Me!", part of the BioNLP workshop co-located with ACL 2024, seeks to alleviate the significant burden on clinicians who dedicate substantial time to crafting detailed discharge notes in the EHR. Participants in the task will explore appro…
Published: April 12, 2024. Version: 1.3
Database Credentialed Access

MIMIC-Ext-SynNotes: Large-Scale Synthetic Clinical Notes via Rephrasing MIMIC-III/IV with LLMs

Jinghui Liu, Sarvesh Soni, Anthony Nguyen

MIMIC-III and MIMIC-IV are foundational resources for clinical NLP, but their scale is modest relative to the data volumes needed to train language models. Building on recent advances in synthetic data generation through LLM-based rephrasing, we con…
Published: Oct. 5, 2026. Version: 1.0
Database Credentialed Access

Northwestern ICU (NWICU) database

Dana Moukheiber, William Temps, Bhadrappa Molgi, et al.

Retrospective medical data collection is essential for advancing patient care, offering insights and supporting the development of health technology. The Medical Information Mart for Intensive Care (MIMIC)-III database has been instrumental in provi…
Published: Nov. 19, 2024. Version: 0.1.0
Database Credentialed Access

BOLD, a blood-gas and oximetry linked dataset

João Matos, Tristan Struja, Jack Gallifant, et al.

Pulse oximeters measure peripheral arterial oxygen saturation (SpO2) noninvasively, while the gold standard involves arterial blood gas measurement (SaO2). There are known racial and ethnic disparities in their performance. BOLD is a new comprehensi…
Published: Nov. 8, 2023. Version: 1.0
Database Credentialed Access

PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions

Daeun Kyung, Hyunseung Chung, Seongsu Bae, et al.

Doctor-patient consultations require multi-turn, context-aware communication tailored to diverse patient personas. Training or evaluating doctor LLMs in such settings requires realistic patient interaction systems. However, existing simulators often…
Published: Oct. 18, 2025. Version: 1.0.0