Foreword
Artificial intelligence (AI) provokes us to reimagine healthcare. The very substrate of clinical practice is expertise, and the machinery that transforms that knowledge into care is decision-making. For decades, we have imagined ways of doing things better for our patients – better drugs, better surgeries, better procedures and, always, better decisions.
Computational methods that capture clinical knowledge and automate reasoning have been with us for decades. We are witnessing now a renaissance in the field of AI, driven in part by better methods for learning and making decisions by machine. This rebirth is also driven by the steady digitization of healthcare. The more we measure practice and make those measures machine readable, the ...
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