Bowness, James SLiu, XiaoxuanKeane, Pearse A2024-06-252024-06-252024-02-01Bowness JS, Liu X, Keane PA. Leading in the development, standardised evaluation, and adoption of artificial intelligence in clinical practice: regional anaesthesia as an example. Br J Anaesth. 2024 May;132(5):1016-1021. doi: 10.1016/j.bja.2023.12.024.0007-09121471-677110.1016/j.bja.2023.12.02438302346http://hdl.handle.net/20.500.14200/4960A recent study by Suissa and colleagues explored the clinical relevance of a medical image segmentation metric (Dice metric) commonly used in the field of artificial intelligence (AI). They showed that pixel-wise agreement for physician identification of structures on ultrasound images is variable, and a relatively low Dice metric (0.34) correlated to a substantial agreement on subjective clinical assessment. We highlight the need to bring structure and clinical perspective to the evaluation of medical AI, which clinicians are best placed to direct.enCopyright © 2024 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.AnaesthesiaOther