Oosterhoff Jacobien H F, Doornberg Job N
Department of Orthopaedic Surgery, Amsterdam UMC, University of Amsterdam, the Netherlands.
Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
EFORT Open Rev. 2020 Oct 26;5(10):593-603. doi: 10.1302/2058-5241.5.190092. eCollection 2020 Oct.
Artificial Intelligence (AI) in general, and Machine Learning (ML)-based applications in particular, have the potential to change the scope of healthcare, including orthopaedic surgery.The greatest benefit of ML is in its ability to learn from real-world clinical use and experience, and thereby its capability to improve its own performance.Many successful applications are known in orthopaedics, but have yet to be adopted and evaluated for accuracy and efficacy in patients' care and doctors' workflows.The recent hype around AI triggered hope for development of better risk stratification tools to personalize orthopaedics in all subsequent steps of care, from diagnosis to treatment.Computer vision applications for fracture recognition show promising results to support decision-making, overcome bias, process high-volume workloads without fatigue, and hold the promise of even outperforming doctors in certain tasks.In the near future, AI-derived applications are very likely to assist orthopaedic surgeons rather than replace us. 'If the computer takes over the simple stuff, doctors will have more time again to practice the art of medicine'. Cite this article: 2020;5:593-603. DOI: 10.1302/2058-5241.5.190092.
一般而言，人工智能（AI），尤其是基于机器学习（ML）的应用，有潜力改变医疗保健的范围，包括骨科手术。机器学习的最大优势在于它能够从实际临床应用和经验中学习，从而提高自身性能。骨科领域有许多成功的应用，但在患者护理和医生工作流程中的准确性和有效性方面，尚未得到采用和评估。近期围绕人工智能的炒作引发了人们的希望，即开发出更好的风险分层工具，以便在从诊断到治疗的后续所有护理步骤中实现骨科个性化。用于骨折识别的计算机视觉应用显示出了支持决策、克服偏差、处理大量工作量而不疲劳的良好结果，并且有望在某些任务中甚至超越医生。在不久的将来，人工智能衍生的应用很可能会辅助骨科医生，而不是取代我们。“如果计算机接管简单的工作，医生将再次有更多时间从事医学技艺。”引用本文：2020；5：593 - 603。DOI：10.1302/2058 - 5241.5.190092。
