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Applications of artificial intelligence in Orthopaedic surgery: A systematic review and meta-analysis.

Authors :
Geda, M.W.
Tang, Yuk Ming
Lee, C.K.M.
Source :
Engineering Applications of Artificial Intelligence. Jul2024:Part A, Vol. 133, pN.PAG-N.PAG. 1p.
Publication Year :
2024

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. • A review of application areas of artificial intelligence (AI) in Orthopedic surgery is conducted. • Potential application of AI in the preoperative, intraoperative, and postoperative stages are identified. • A meta-analysis was carried out to compare the performances of AI-assisted orthopedic surgery with conventional approach. • Challenges are identified and avenues for future research are highlighted. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09521976
Volume :
133
Database :
Academic Search Index
Journal :
Engineering Applications of Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
177605598
Full Text :
https://doi.org/10.1016/j.engappai.2024.108326