Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Quantum Computing: The Future of Big Data and Artificial Intelligence in Spine
32
Zitationen
6
Autoren
2022
Jahr
Abstract
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.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.591 Zit.
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
2020 · 7.739 Zit.
Calculation of average PSNR differences between RD-curves
2001 · 4.088 Zit.
Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration
2001 · 3.897 Zit.
Vertebral fracture assessment using a semiquantitative technique
1993 · 3.609 Zit.