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Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine

To cite: Ramlakhan S, Saatchi R, Sabir L, et al. Emerg Med J 2022;39:380–385. Handling editor Katie Walker Emergency Department, Sheffield Children’s Hospital, Sheffield, UK Electronics and Computer Engineering Research… Click to show full abstract

To cite: Ramlakhan S, Saatchi R, Sabir L, et al. Emerg Med J 2022;39:380–385. Handling editor Katie Walker Emergency Department, Sheffield Children’s Hospital, Sheffield, UK Electronics and Computer Engineering Research Institute, Sheffield Hallam University, Sheffield, UK Department of Clinical Surgical Sciences, Faculty of Medical Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago Simulation and Modelling Unit, Advanced Forming Research Centre, University of Strathclyde, Sheffield, UK

Keywords: emergency; artificial intelligence; understanding interpreting; emergency medicine; interpreting artificial; medicine

Journal Title: Emergency Medicine Journal
Year Published: 2022

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