Mallow G Michael, Hornung Alexander, Barajas Juan Nicolas, Rudisill Samuel S, An Howard S, Samartzis Dino
Department of Orthopaedic Surgery, Division of Spine Surgery, Rush University Medical Center, Chicago, USA.
Spine Surg Relat Res. 2022 Feb 10;6(2):93-98. doi: 10.22603/ssrr.2021-0251. eCollection 2022.
With the emergence of big data and more personalized approaches to spine care and predictive modeling, data science and deep analytics are taking center-stage. Although current techniques in machine learning and artificial intelligence have gained attention, their applications remain limited by their reliance on traditional analytic platforms. Quantum computing has the ability to circumvent such constraints by attending to the various complexities of big data while minimizing space and time dimensions within computational algorithms. In doing so, quantum computing may one day address research and clinical objectives that currently cannot be tackled. Understanding quantum computing and its potential to improve patient management and outcomes is therefore imperative to drive further advancements in the spine field for the next several decades.
随着大数据的出现以及脊柱护理和预测建模采用更个性化的方法，数据科学和深度分析正占据核心地位。尽管机器学习和人工智能的当前技术已受到关注，但其应用仍受限于对传统分析平台的依赖。量子计算有能力通过处理大数据的各种复杂性，同时在计算算法中最小化空间和时间维度来规避此类限制。这样一来，量子计算也许有朝一日能实现目前无法解决的研究和临床目标。因此，理解量子计算及其改善患者管理和治疗结果的潜力对于推动未来几十年脊柱领域的进一步发展至关重要。
