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http://hdl.handle.net/10397/109224
Title: | Applications of artificial intelligence in Orthopaedic surgery : a systematic review and meta-analysis | Authors: | Geda, MW Tang, YM Lee, CKM |
Issue Date: | Jul-2024 | Source: | Engineering applications of artificial intelligence, July 2024, v. 133, pt. D, 108326 | Abstract: | The integration of artificial intelligence (AI) has the potential to revolutionise the pre-operative, intra-operative and post-operative stages of orthopaedic surgery. We conduct a systematic review and meta-analysis to investigate the role and effectiveness of AI in Orthopedic surgery. We compare the outcomes of AI-assisted and conventional surgery by focusing on the implementation of AI tools in the prediction, diagnosis and robot-assisted surgery. The results of the review and meta-analysis showed high accuracy in prediction outcomes, diagnosis and classification based on medical image analysis. However, the meta-analysis revealed longer operative times with robot-assisted surgery. Additionally, while robotics achieved enhanced implant positioning accuracy, definitive advantages in functional outcomes over conventional surgery were not observed. Future work should focus on extensive follow-up to validate the long-term advantages of AI-assisted procedures in orthopaedic surgery. | Keywords: | Artificial intelligence Healthcare Medical robotics Meta-analysis Orthopaedic surgery |
Publisher: | Elsevier Ltd | Journal: | Engineering applications of artificial intelligence | ISSN: | 0952-1976 | EISSN: | 1873-6769 | DOI: | 10.1016/j.engappai.2024.108326 |
Appears in Collections: | Journal/Magazine Article |
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