A Surgeon’s Guide to Understanding Artificial Intelligence and Machine Learning Studies in Orthopaedic Surgery
Author:
Publisher
Springer Science and Business Media LLC
Subject
Orthopedics and Sports Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12178-022-09738-7.pdf
Reference37 articles.
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2. Myers TG, Ramkumar PN, Ricciardi BF, Urish KL, Kipper J, Ketonis C. Artificial Intelligence and Orthopaedics: An Introduction for Clinicians. J Bone Joint Surg Am. 2020;102(9):830–40. https://doi.org/10.2106/JBJS.19.01128.
3. Maffulli N, Rodriguez HC, Stone IW, et al. Artificial intelligence and machine learning in orthopedic surgery: a systematic review protocol. J Orthop Surg Res. 2020;15(1):478. https://doi.org/10.1186/s13018-020-02002-z Published 2020 Oct 19.
4. Makhni EC, Makhni S, Ramkumar PN. Artificial Intelligence for the Orthopaedic Surgeon: An Overview of Potential Benefits, Limitations, and Clinical Applications. J Am Acad Orthop Surg. 2021;29(6):235–43. https://doi.org/10.5435/JAAOS-D-20-00846.
5. Helm JM, Swiergosz AM, Haeberle HS, Karnuta JM, Schaffer JL, Krebs VE, Spitzer AI, Ramkumar PN. Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions. Curr Rev Musculoskelet Med. 2020;13(1):69–76. https://doi.org/10.1007/s12178-020-09600-8.
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