Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions
Autor: | Andrew I. Spitzer, Prem N. Ramkumar, J. Matthew Helm, Viktor E. Krebs, Jaret M. Karnuta, Heather S. Haeberle, Jonathan L. Schaffer, Andrew M. Swiergosz |
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Rok vydání: | 2020 |
Předmět: |
030222 orthopedics
Potential impact Musculoskeletal care business.industry Deep learning Big data 030229 sport sciences Machine learning computer.software_genre Imaging modalities Data aggregator 03 medical and health sciences 0302 clinical medicine Payment models The Use of Technology in Orthopaedic Surgery—Intraoperative and Post-Operative Management (C Krueger and S Bini Section Editors) Leverage (statistics) Medicine Orthopedics and Sports Medicine Artificial intelligence business computer |
Zdroj: | Current Reviews in Musculoskeletal Medicine. 13:69-76 |
ISSN: | 1935-9748 |
DOI: | 10.1007/s12178-020-09600-8 |
Popis: | PURPOSE OF REVIEW: With the unprecedented advancement of data aggregation and deep learning algorithms, artificial intelligence (AI) and machine learning (ML) are poised to transform the practice of medicine. The field of orthopedics, in particular, is uniquely suited to harness the power of big data, and in doing so provide critical insight into elevating the many facets of care provided by orthopedic surgeons. The purpose of this review is to critically evaluate the recent and novel literature regarding ML in the field of orthopedics and to address its potential impact on the future of musculoskeletal care. RECENT FINDINGS: Recent literature demonstrates that the incorporation of ML into orthopedics has the potential to elevate patient care through alternative patient-specific payment models, rapidly analyze imaging modalities, and remotely monitor patients. SUMMARY: Just as the business of medicine was once considered outside the domain of the orthopedic surgeon, we report evidence that demonstrates these emerging applications of AI warrant ownership, leverage, and application by the orthopedic surgeon to better serve their patients and deliver optimal, value-based care. |
Databáze: | OpenAIRE |
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