著者

G. Michael Mallow Alexander Hornung Juan Nicolas Barajas Samuel S. Rudisill Howard S. An Dino Samartzis

出版者

The Japanese Society for Spine Surgery and Related Research

雑誌

Spine Surgery and Related Research (ISSN:2432261X)

巻号頁・発行日

vol.6, no.2, pp.93-98, 2022-03-27 (Released:2022-03-27)

参考文献数

46

被引用文献数

8

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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.