Please use this identifier to cite or link to this item: 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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