Semantic Scholar Open Access 2019 114 sitasi

Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review.

Heather S. Haeberle J. Helm S. Navarro J. Karnuta J. Schaffer +5 lainnya

Abstrak

BACKGROUND Driven by the rapid development of big data and processing power, artificial intelligence and machine learning (ML) applications are poised to expand orthopedic surgery frontiers. Lower extremity arthroplasty is uniquely positioned to most dramatically benefit from ML applications given its central role in alternative payment models and the value equation. METHODS In this report, we discuss the origins and model specifics behind machine learning, consider its progression into healthcare, and present some of its most recent advances and applications in arthroplasty. RESULTS A narrative review of artificial intelligence and ML developments is summarized with specific applications to lower extremity arthroplasty, with specific lessons learned from osteoarthritis gait models, joint-specific imaging analysis, and value-based payment models. CONCLUSION The advancement and employment of ML provides an opportunity to provide data-driven, high performance medicine that can rapidly improve the science, economics, and delivery of lower extremity arthroplasty.

Topik & Kata Kunci

Medicine

Penulis (10)

Heather S. Haeberle

J. Helm

S. Navarro

J. Karnuta

J. Schaffer

J. Callaghan

Michael A Mont

A. Kamath

V. Krebs

P. Ramkumar

Format Sitasi

APA MLA BibTeX

Haeberle, H.S., Helm, J., Navarro, S., Karnuta, J., Schaffer, J., Callaghan, J. et al. (2019). Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review.. https://doi.org/10.1016/j.arth.2019.05.055

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 114×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.arth.2019.05.055
Akses: Open Access ✓