Can an AI solution be implemented across data types and centres to improve clinical decision-making in a fair and responsible way?
Artificial intelligence (AI) solutions analyzing medical images and signals have achieved exponential growth and have started to be deployed in clinical practice. However, in Canada, there currently does not exist a widely deployed software for using AI on this type of data. This is because AI models are mainly restricted to commercial hardware/software (i.e. transthoracic echocardiogram with proprietary software). No readily available AI solution leverages pre-existing Canadian hospital infrastructure. Also, models can be biased against subpopulations by presenting disparate performance for these subgroups and fairness data is usually not presented to the users of the model.
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