Loh Jia Yi, Tay Xian Khing Kenny, Ng Yeong Huei, Howe Tet Sen, Koh Joyce Suang Bee, Yang Youheng Ou
Department of Orthopaedic Surgery, Singapore General Hospital, Singapore.
J Orthop Surg (Hong Kong). 2026 Jan-Apr;34(1):10225536261424038. doi: 10.1177/10225536261424038. Epub 2026 Feb 12.
Orthopaedic surgery is on the cusp of entering a new data-driven era, fuelled by big data and Artificial Intelligence (AI). Medical data is traditional derived from manually inputted medical records. A far richer set of data may be collected via automated means and from population registries leading to an explosion of large and complex datasets termed "big data" which are not well handled by traditional processing tools. Big data truly becomes useful when coupled with the ability to meaningfully process it with current generation AI. These two advances have reshaped possibilities in research and clinical applications. This narrative review outlines emerging opportunities and challenges brought about big data and AI while also exploring the necessary guardrails that are needed for safe application and sustainable progress.
在大数据和人工智能（AI）的推动下，骨科手术正处于进入一个新的数据驱动时代的边缘。医学数据传统上来自手动输入的病历。通过自动化手段和人口登记系统可以收集到丰富得多的数据集，从而导致大量复杂数据集的激增，即所谓的“大数据”，而传统处理工具难以处理这些数据集。当大数据与当前一代人工智能进行有意义的处理能力相结合时，它才真正变得有用。这两项进展重塑了研究和临床应用的可能性。这篇叙述性综述概述了大数据和人工智能带来的新机遇和挑战，同时也探讨了安全应用和可持续发展所需的必要保障措施。
