Resources
5 results for "temporal annotation"
Database
Credentialed Access
Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation
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 …
fine-grained structured reports
attribute-level clinical reasoning
medical text structuring
longitudinal clinical reasoning
chest x-ray report parsing
medical information structuring
benchmark dataset for radiology report
medical information extraction
structured radiology reports
temporal relation extraction
radiology report benchmarking
longitudinal clinical understanding
Database
Credentialed Access
MIMIC-IV-Ext-ECG-Glucose: Temporally Aligned 12-Lead ECG and Laboratory Blood Glucose Pairs with Quality and Pharmacological Annotations
Dysglycaemia is common in hospitalised and critically ill patients, and non-invasive estimation of blood glucose from the electrocardiogram (ECG) is an active research area. However, large public resources that link ECGs to contemporaneous glucose m…
Database
Credentialed Access
MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
MS-CXR-T is a multi-modal benchmark dataset for evaluating biomedical vision-language processing (VLP) models on two distinct temporal tasks in radiology: image classification and sentence similarity. The former comprises multi-image frontal chest X…
Database
Contributor Review
InReDD-Dataset-PAN924
InReDD-Dataset-PAN924 is a collection of 924 radiographic images annotated with mouth and teeth labels by specialists from the InReDD research group.
InReDD (Interdisciplinary Research Group in Digital Dentistry) is a collaborative research initiati…
Database
Credentialed Access
MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp
Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthcare. A crucial component in developing a reliable prediction model is a high-quality dataset with time series clinical events. In this work, we release…