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cs.HC2024
Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care
Jeffrey N. Clark, Matthew Wragg, Emily Nielsen +7
There is a growing need to understand how digital systems can support clinical decision-making, particularly as artificial intelligence (AI) models become increasingly complex and…
cs.HC2024
Evaluation of a Data Annotation Platform for Large, Time-Series Datasets in Intensive Care: Mixed Methods Study
Marceli Wac, Raul Santos-Rodriguez, Chris McWilliams +1
Intensive Care Units are complex, data-rich environments where critically ill patients are treated using variety of clinical equipment. The data collected using this equipment can…
cs.HC2024
Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study
Marceli Wac, Raul Santos-Rodriguez, Chris McWilliams +1
Intensive care units (ICUs) are complex and data-rich environments. Data routinely collected in the ICUs provides tremendous opportunities for machine learning, but their use comes…