Highlights from this issue Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1136/emermed-2022-212484
· OA: W4281626939
![Graphic][1]</img> The promise of artificial intelligence (AI) in healthcare with potential applications across different areas of medicine, not least emergency medicine (EM)is beguiling. Who would have thought that the Tin Man from the fairytale, the Wizard of Oz, singing "If I only had a heart" would be partially realised in terms of human intelligence. Fiction is replete with such characters, we have imagined and fantasised about such creations long before we had the science or technology to bring them to life. Artificial Intelligence is a broad term to describe machines that can understand, act and learn with human like intelligence. Emergency care globally faces enormous challenges, with ever increasing numbers of patients and too few clinicians to treat them. Equally the expectation that we can improve patient experience while simultaneously reducing the costs of healthcare is at odds with reality on the ground. AI and machine learning (ML) can offer solutions to some of these problems as it allows us to manage large amounts of data, it reduces demands on resources, thus, tasks that previously required human intelligence can be performed in greater and more efficient ways and in many situations, AI makes better … [1]: /embed/inline-graphic-1.gif
