Authors : Basavaraj. G; Manoj. M.P; Rachana. H. B; Chetan Kumar G S

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/34m2e3vd

Scribd : https://tinyurl.com/mw9x85yc

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY1495

Abstract : Artificial intelligence (AI) is being used more and more in numerous fields, and the medical industry is no exception. AI is demonstrating potential as a helpful tool in all facets of patient care pathways, including research in healthcare. Due to the practically exponential expansion in computer processing power, cloud computing, and the invention and improvement of software algorithms specifically designed for medical tasks, artificial intelligence (AI) systems are becoming more and more significant in the fields of medicine and orthopaedic surgery. Machine-based integration of imaging studies is particularly ripe for the field of orthopaedic disorders because of the extensive role of technologies like medical imaging that bring high sensitivity, specificity, and positive/negative prognostic value to the management of orthopaedic disorders, among other applications. In orthopaedic surgery, practical applications include real-time rehabilitation monitoring and surgical training; predictive models of clinical and patient-reported outcome measures, such as calculating mortality rates and length of hospital stay; and diagnostics, such as fracture recognition and tumor detection. This study aims to outline current clinical uses of AI in orthopaedic surgery and to provide a thorough grasp of AI and its subfields.

Keywords : Artificial Intelligence, Orthopaedics, Orthopaedic Surgery, Machine Learning, Deep Learning.

References :

1. Thomas G. Myers, MD, MPT,1,a Prem N. Ramkumar, MD, MBA,2 Benjamin F. Ricciardi, MD,1 Kenneth L. Urish, MD, PhD,3 Jens Kipper, PhD,4 and Constantinos Ketonis, Artificial Intelligence and Orthopaedics doi: 10.2106/JBJS.19.01128.
2. Faraz Farhadi1,2*, Matthew R. Barnes1, Harun R. Sugito1, Jessica M. Sin3, Eric R. Henderson4 and Joshua J. Levy5 *. Applications of artificial intelligence in orthopaedic surgery DOI 10.3389/fmedt.2022.995526.
3. Cabitza F, Locoro A, Giuseppe B. Machine learning in orthopedics: a literature review. Front Bioeng Biotechnol. 2018;6:75.
4. Rodrigo de Marinis, MDa,b,c, Erick M. Marigi, MDa, Yousif Atwan, MD, MSca, Linjun Yang, PhDd , Jacob F. Oeding, MSa, Puneet Gupta, BSe , Ayoosh Pareek, MDf, Joaquin Sanchez-Sotelo, MD, PhDa, John W. Sperling, MD, MBAa,* Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next.
5. Choy G, Khalilzadeh O, Michalski M, Do S, Samir AE, Pianykh OS, et al. Current applications and future impact of machine learning in radiology. Radiology. 2018 Aug;288(2):318–28.
6. Takagi Y, Sakai Y, Lisi G, Yahata N, Abe Y, Nishida S, et al. A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity. Sci Rep. 2017;7:7528.
7. Toosi A, Bottino AG, Saboury B, Siegel E, Rahmim A. A brief history of AI: how to prevent another winter (A critical review). PET Clin. (2021) 16(4):449–69. doi: 10.1016/j.cpet.2021.07.001.
8. Khan AA, Laghari AA, Awan SA. Machine learning in computer vision: a review. EAI Endorsed Scal Inf Syst. (2021) 8(32):e4. doi: 10.4108/eai.21-4-2021.169418.
9. 1Institute of Advanced Orthopedics, M.O.S.C Medical College Hospital, Kolenchery, Ernakulam, Kerala, India Address of Correspondence: Dr. Prannoy Paul, Institute of Advanced Orthopedics, M.O.S.C Medical College Hospital, Kolenchery, Ernakulam, Kerala, India. The Rise of Artificial Intelligence: Implications in Orthopedic Surgery doi: 10.13107/jocr.2024.v14.i02.4194.
10. Kurmis, A.P., Ianunzio, J.R. Artificial intelligence in orthopedic surgery: evolution, current state and future directions. Arthroplasty 4, 9 (2022). https://doi.org/10.1186/s42836-022-00112-z.
11. Helm JM, Swiergosz AM, Haeberle HS, Karnuta JM, Schafer JL, Krebs VE, et al. Machine Learning and Artifcial Intelligence: Defnitions, Applications, and Future Directions. Curr Rev Musculoskelet Med. 2020;13(1):69–76.
12. Myers TG, Ramkumar PN, Ricciardi BF, Urish KL, Kipper J, Ketonis C. Artifcial intelligence and Orthopaedics: an introduction for clinicians. J Bone Joint Surg Am. 2020;102(9):830–40.
13. Liu, P., Zhang, J., Liu, S. et al. Application of artificial intelligence technology in the field of orthopedics: a narrative review. Artif Intell Rev 57, 13 (2024). https://doi.org/10.1007/s10462-023-10638-6  Application of artificial intelligence technology in the field of orthopedics: a narrative review.
14. B. Innocenti, Yanislav Radyul, E. Bori Published in Applied Sciences 24 October 2022 Medicine, Computer Science The Use of Artificial Intelligence in Orthopedics: Applications and Limitations of Machine Learning in Diagnosis and Prediction DOI:10.3390/app122110775
15. A. Lisacek-Kiosoglous, Amber S Powling, A. Fontalis, A. Gabr, E. Mazomenos, F. Haddad less Published in Bone & Joint Research 1 July 2023 Medicine, Computer Science, Engineering Artificial intelligence in orthopaedic surgery DOI:10.1302/2046-3758.127.BJR-2023-0111.R1.
16. R. K. Martin, Christophe Ley, Ayoosh Pareek, A. Groll, T. Tischer, R. Seil less Published in Knee Surgery, Sports… 15 September 2021 Medicine, Computer Science Artificial intelligence and machine learning: an introduction for orthopaedic surgeons DOI:10.1007/s00167-021-06741-2
17. Michael J Ormond, N. D. Clement, Ben G Harder, L. Farrow, Andrew Glester Published in Bone & Joint Open 1 September 2023 Medicine, Computer Science Acceptance and understanding of artificial intelligence in medical research among orthopaedic surgeons DOI:10.1302/2633-1462.49.BJO-2023-0070.R1
18. Aghnia FN, Lai JY, Wang JC et al (2021) Sanders classification of calcaneal fractures in CT images with deep learning and differential data augmentation techniques. Injury 52(3):616–624
19. Hasan S, Ahmed A, Waheed MA, Saleh ES, Omari A. Transforming Orthopedic Joint Surgeries: The Role of Artificial Intelligence (AI) and Robotics. Cureus. 2023 Aug 10;15(8):e43289. doi: 10.7759/cureus.43289.
20. Research and application of artificial intelligence based three-dimensional preoperative planning system for total hip arthroplasty (Article in Chinese) Wu D, Liu X, Zhang Y, Chen J, Tang P, Chai W. Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2020;34:1077–1084.