Abstract
AbstractArtificial intelligence (AI) is looked upon nowadays as the potential major catalyst for the fourth industrial revolution. In the last decade, AI use in Orthopaedics increased approximately tenfold. Artificial intelligence helps with tracking activities, evaluating diagnostic images, predicting injury risk, and several other uses. Chat Generated Pre-trained Transformer (ChatGPT), which is an AI-chatbot, represents an extremely controversial topic in the academic community. The aim of this review article is to simplify the concept of AI and study the extent of AI use in Orthopaedics and sports medicine literature. Additionally, the article will also evaluate the role of ChatGPT in scientific research and publications.Level of evidence: Level V, letter to review.
Subject
Orthopedics and Sports Medicine
Reference58 articles.
1. Adams M, Chen W, Holcdorf D, McCusker MW, Howe PD, Gaillard F (2019) Computer vs human: deep learning versus perceptual training for the detection of neck of femur fractures. J Med Imaging Radiat Oncol 63:27–32
2. Adankon MM, Dansereau J, Labelle H, Cheriet F (2012) Non invasive classification system of scoliosis curve types using least-squares support vector machines. Artif Intell Med 56:99–107
3. Al-Helo S, Alomari RS, Ghosh S, Chaudhary V, Dhillon G, Al-Zoubi MB et al (2013) Compression fracture diagnosis in lumbar: a clinical CAD system. Int J Comput Assist Radiol Surg 8:461–469
4. Alaqtash M, Sarkodie-Gyan T, Yu H, Fuentes O, Brower R, Abdelgawad A (2011) Automatic classification of pathological gait patterns using ground reaction forces and machine learning algorithms. Annu Int Conf IEEE Eng Med Biol Soc 2011:453–457
5. Ashinsky BG, Bouhrara M, Coletta CE, Lehallier B, Urish KL, Lin PC et al (2017) Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative. J Orthop Res 35:2243–2250
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献