Artificial Intelligence in Orthopedics: A Concise Review

Phani Teja Nallamothu *

Pennsylvania State University, USA.

Jasmin Praful Bharadiya

University of the Cumberlands, USA.

*Author to whom correspondence should be addressed.


Abstract

Artificial intelligence (AI) is attracting more and more attention as a potential tool in orthopedics. The purpose of this review is to catalogue and describe existing research in this area so that readers can grasp the breadth, depth, and nature of existing studies and be inspired to conduct their own. To summaries the application of AI in orthopedics, a concise review was carried out. Most research was conducted on the spinal column, the knee, and the hip. Artificial intelligence is increasingly being used in the field of orthopedics. Yet, the range of its therapeutic applications and the sub-specialty sections of the body that have been investigated to date remain restricted. Standardizing the way AI research is reported would facilitate objective evaluation and comparison. Validating AI systems for clinical usage requires prospective trials.

Keywords: Artificial intelligence, machine learning, orthopedics, surgery


How to Cite

Nallamothu, P. T., & Bharadiya, J. P. (2023). Artificial Intelligence in Orthopedics: A Concise Review. Asian Journal of Orthopaedic Research, 6(1), 17–27. Retrieved from https://journalajorr.com/index.php/AJORR/article/view/164

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