Resources

123 results for "evaluation"

Database Open Access

Facial and oral temperature data from a large set of human subject volunteers

Quanzeng Wang, Yangling Zhou, Pejman Ghassemi, et al.

To evaluate the benefit of implementing standardized deployment and acquisition practices in the measurement of elevated body temperature (EBT) with infrared thermographs (IRTs), we conducted a clinical study with more than one thousand subjects.  S…
Published: May 24, 2023. Version: 1.0.0
Database Open Access

Visceral adipose tissue measurements during pregnancy

Alexandre da Silva Rocha, Lisia von Diemen, Daniela Kretzer, et al.

This database is from a cohort study of pregnant women up to 20 weeks of pregnancy and followed until delivery. Measurement of maternal visceral adipose tissue (VAT) was performed during routine obstetric ultrasound. At this time, the biometric eval…
Published: March 23, 2020. Version: 1.0.0
Challenge Credentialed Access

ShAReCLEF eHealth 2013: Natural Language Processing and Information Retrieval for Clinical Care

Danielle Mowery

This is the pilot year of the ShARe/CLEF eHealth Evaluation Lab, a shared task focused on natural language processing (NLP) and information retrieval (IR) for clinical care. The task is co-organized by the Shared Annotated Resources (ShARe) project …
Published: Feb. 15, 2013. Version: 1.0
Database Open Access

Auricle: A Multimodal Wearable Sensing Dataset for Cardiovascular and Hemodynamic Assessment

Kenneth Christofferson, Sejal Bhalla, Thomas Kleinknecht, et al.

Wearable cardiovascular monitoring aims to transition cardiovascular care from episodic clinical visits to continuous, free-living assessment. Many proposed systems use smartwatches and smart rings to capture varying combinations of photoplethysmogr…
Published: Oct. 13, 2026. Version: 1.0.0 | Visualize waveforms
Challenge Credentialed Access

ArchEHR-QA: A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization

Sarvesh Soni, Dina Demner-Fushman

Patient’s unique information needs about their hospitalization can be addressed using clinical evidence from electronic health records (EHRs) and artificial intelligence (AI). However, robust datasets to assess the factuality and relevance of AI-gen…
Published: Oct. 5, 2026. Version: 1.4
Database Open Access

CheXmask-U: Uncertainty Estimation for Landmark-Based Anatomical Segmentation Masks in Chest X-ray Images

Matias Cosarinsky, Nicolas Gaggion, Enzo Ferrante

We present an extended version of the CheXmask dataset, augmenting the original anatomical segmentation masks of chest X-rays with node-wise uncertainty estimates. The dataset retains the comprehensive coverage of five public sources—ChestX-ray8, Ch…
Published: Sept. 2, 2026. Version: 1.0.0
Database Credentialed Access

MIMIC-III-Ext-Notes

Darren Liu, Monique Bouvier, Delgersuren Bold, et al.

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…
Published: Feb. 27, 2026. Version: 1.0.0
Database Credentialed Access

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation

Jong Hak Moon, Geon Choi, Paloma Rabaey, et al.

Radiology reports convey detailed clinical observations and capture diagnostic reasoning that evolves over time. However, existing evaluation methods are limited to single-report settings and rely on coarse metrics that fail to capture fine-grained …
Published: Jan. 11, 2026. Version: 1.0.0
Database Contributor Review

ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room

Mel Molina, Nikita Mehandru, Niloufar Golchini, et al.

The ER-Reason dataset is a benchmark designed to evaluate LLM-based clinical reasoning and decision-making in the emergency room (ER), a high-stakes setting where clinicians make rapid, consequential decisions across diverse patient presentations an…
Published: Oct. 23, 2025. Version: 1.0.0
Database Restricted Access

MIMIC-IV-Ext-Apixaban-Trial-Criteria-Questions

Elizabeth Woo, Michael Craig Burkhart, Emily Alsentzer, et al.

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, …
Published: April 30, 2025. Version: 1.0.0