Medicine and artificial intelligence: a strategy for the future, employing Porter’s classic framework

Abstract

Medical doctors are not newcomers to the field of artificial intelligence (AI), with radiologists pioneering work in medical imaging perception in the 1980s. But as it stands today, radiology, and in fact the whole of healthcare, is a field ripe for disruption. In the past 5-10 years, there have been substantial new innovations in imaging from deep learning methods of image detection and classification. Current artificial neural networks have accuracy rates that surpass those of radiologists in narrow-based tasks such as nodule detection, Natural language processing is also poised to transform the way electronic health records are utilised by clinicians and researchers.

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