Artificial intelligence (AI) research within medicine is growing rapidly. Healthcare AI projects attracted more investment than AI projects within any other sector of the global economy. Nevertheless, among the excitement, there is equal scepticism, with some urging caution at inflated expectations [1,2]. Since the turn of the century, AI has also been successfully progressive into the fields of medicine and health care. The core of evidence-based medicine is using historical data to inform clinical decision making. This task has traditionally been tackled by statistical methods, which describe patterns in data as mathematical equations.
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