J.M. Smit
10 records found
1
Authored
The future of artificial intelligence in intensive care
Moving from predictive to actionable AI
comes, such as mortality or sepsis [1, 2]. However, there is another important aspect of AI that is typically n ...
Causal inference using observational intensive care unit data
A scoping review and recommendations for future practice
This scoping review focuses on the essential role of models for causal inference in shaping actionable artificial intelligence (AI) designed to aid clinicians in decision-making. The objective was to identify and evaluate the reporting quality of studies introducing models for ...
Development and validation of an early warning model for hospitalized COVID-19 patients
A multi-center retrospective cohort study
Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVI ...
Dynamic prediction of mortality in COVID-19 patients in the intensive care unit
A retrospective multi-center cohort study
Background: The COVID-19 pandemic continues to overwhelm intensive care units (ICUs) worldwide, and improved prediction of mortality among COVID-19 patients could assist decision making in the ICU setting. In this work, we report on the development and validation of a dynamic ...