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Title
The Role of Machine Learning in Spine Surgery: The Future Is Now
Authors
Keywords
-
Journal
Frontiers in Surgery
Volume 7, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-08-21
DOI
10.3389/fsurg.2020.00054
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- (2019) David S Watson et al. BMJ-British Medical Journal
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- (2019) Samir D. Mehta et al. JOURNAL OF DIGITAL IMAGING
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- CORR Insights®
- (2019) James D. Michelson CLINICAL ORTHOPAEDICS AND RELATED RESEARCH
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- (2018) Danton S. Char et al. NEW ENGLAND JOURNAL OF MEDICINE
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- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Deep neural network improves fracture detection by clinicians
- (2018) Robert Lindsey et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The Power and Limits of Deep Learning
- (2018) Yann LeCun RESEARCH-TECHNOLOGY MANAGEMENT
- Machine learning in medicine: Addressing ethical challenges
- (2018) Effy Vayena et al. PLOS MEDICINE
- Artificial intelligence in healthcare
- (2018) Kun-Hsing Yu et al. Nature Biomedical Engineering
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- (2017) Rick Kamps et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
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- (2017) Ana Carolina Alba et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Effect of various factors on pull out strength of pedicle screw in normal and osteoporotic cancellous bone models
- (2017) Vicky Varghese et al. MEDICAL ENGINEERING & PHYSICS
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- Mixed Reality with HoloLens
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- Information in the Biosphere: Biological and Digital Worlds
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- Incidental Findings with Dual-Energy X-Ray Absorptiometry: Spectrum of Possible Diagnoses
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