Resources

CTPA (computed tomography pulmonary angiogram) radiology reports from MIMIC-IV with pulmonary embolism (PE) adjudication

This dataset is an evidence‑grounded benchmark built on MIMIC‑IV discharge summaries that evaluates how well large language models can verify ICD‑10 medical concepts, including implicitly documented diagnoses, by identifying supporting text evidence.

ECHOVIEW provides structured viewing class annotations for 29,196 transthoracic echocardiograms derived from MIMIC-IV-ECHO using a pretrained CNN. Manual clinician review shows substantial agreement (κ=0.69) with these annotations.

Large-Scale, Quality-Assessed PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis based on MIMIC-III

HYGD is a rigorously annotated fundus image dataset with gold-standard clinical labels designed to improve and benchmark deep learning models for accurate glaucoma detection.

The MIMIC-III-Ext-CA dataset contains annotations of 31 PPG-captured cardiac arrest episodes from the MIMIC-III clinical and waveform databases.

This dataset provides cylinder rearing video and behavioral scoring data from 59 mice undergoing stroke and drug treatments.

This dataset contains airway pressure, flow and pulse oximetry waveforms from 20 healthy adults during simulated apnoea events, including arterial and venous PPG signals for developing and validating OSA detection and oxygenation models.

We evaluated general large language models' performance in clinical information extraction on MIMIC-III notes.

This dataset contains multimodal neurophysiological and physiological recordings collected from participants performing cognitively demanding tasks to study the temporal dynamics of stress resilience during human-computer interaction