Michel E. van Genderen
6 records found
1
Authored
Despite artificial intelligence (AI) technology progresses at unprecedented rate, our ability to translate these advancements into clinical value and adoption at the bedside remains comparatively limited. This paper reviews the current use of implementation outcomes in randomi ...
Charting a new course in healthcare
Early-stage AI algorithm registration to enhance trust and transparency
AI holds the potential to transform healthcare, promising improvements in patient care. Yet, realizing this potential is hampered by over-reliance on limited datasets and a lack of transparency in validation processes. To overcome these obstacles, we advocate the creation of a ...
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 ...
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 ...
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 ...