Resources

Criteria to identify patients who are ready to be liberated from mechanical ventilation are imprecise, often resulting in prolonged mechanical ventilation or reintubation, both of which are associated with adverse outcomes. We sought to determine wh…

Automatic medical report generation (MRG) towards describing life-threatening lesions from given medical images, such as Chest X-ray and Fundus Fluorescein Angiography (FFA), has been a long-standing research topic in machine learning and automatic …

This dataset comprises 9,606 Synthetic Discharge Summaries generated by GPT-3.5 based on combinations of ICD-10-code descriptions associated with real discharge summaries in MIMIC-IV. As part of the generation process, GPT-3.5 was also tasked to cod…

Databases that link molecular data to clinical outcomes can inform precision cancer research into novel prognostic and predictive biomarkers. However, outside of clinical trials, cancer outcomes are typically recorded only in text form within electr…

The number of publicly available ECG datasets has increased tremendously in the past few years and several of these datasets have developed into widely used benchmarking datasets. However, most of them exhibit a common limitation, namely the relianc…

This dataset contains de-identified encounter level data from a 1-year, multisite, pragmatic, cluster-randomized controlled trial evaluating the CONCERN (COmmunicating Narrative Concerns Entered by RNs) early warning system, a machine learning-based…

The publicly available MAMA-MIA breast dynamic contrast-enhanced magnetic resonance imaging (MRI) dataset has become an important resource for artificial intelligence (AI) research on breast cancer, particularly for tumor detection and predicting pa…

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…

This resource shares processed frontal electroencephalography (EEG) data collected from adult patients undergoing non-emergency, non-cardiac surgery with general anaesthesia at four hospitals. The dataset was generated to study neurophysiological si…

False arrhythmia alarms are a persistent problem in intensive care units despite considerable effort from industrial and academic algorithm developers. Among the various arrhythmias, ventricular tachycardia (VT) is particularly challenging to detect…