Resources


Database Credentialed Access

MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp

Jing Wang, Xing Niu, Tong Zhang, et al.

It is a time series clinical events dataset with concrete temporal information. The dataset consists of 22,588,586 clinical events and related timestamps from 267,284 discharge summaries of the MIMIC-IV-Note.

mimic clinical event annotation time series temporal annotation

Published: Sept. 29, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp

Jing Wang, Xing Niu, Tong Zhang, et al.

It is a time series clinical events dataset with concrete temporal information. The dataset consists of 22,588,586 clinical events and related timestamps from 267,284 discharge summaries of the MIMIC-IV-Note.

mimic clinical event annotation time series temporal annotation

Published: Sept. 29, 2025. Version: 1.0.0

Database Credentialed Access

MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Shruthi Bannur, Stephanie Hyland, Qianchu Liu, et al.

The MS-CXR-T is a multimodal benchmark that enhances the MIMIC-CXR v2 dataset by including expert-verified annotations. Its goal is to evaluate biomedical visual-language processing models in terms of temporal semantics extracted from image and text.

disease progression cxr vision-language processing chest x-ray radiology multimodal

Published: March 17, 2023. Version: 1.0.0

Database Contributor Review

InReDD-Dataset-PAN924

Caio Uehara Martins, Camila Tirapelli, Hugo Gaêta-Araujo, et al.

InReDD‑Dataset-V1 is a collection of 924 anonymised panoramic dental radiographs curated by the Interdisciplinary Research Group in Digital Dentistry (InReDD) at the University of São Paulo.

Published: Nov. 22, 2025. Version: 1.0.0

Database Credentialed Access

MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp

Jing Wang, Xing Niu, Tong Zhang, et al.

It is a time series clinical events dataset with concrete temporal information. The dataset consists of 22,588,586 clinical events and related timestamps from 267,284 discharge summaries of the MIMIC-IV-Note.

mimic clinical event annotation time series temporal annotation

Published: Sept. 29, 2025. Version: 1.0.0