Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109224
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Geda, MW | en_US |
dc.creator | Tang, YM | en_US |
dc.creator | Lee, CKM | en_US |
dc.date.accessioned | 2024-10-02T02:36:17Z | - |
dc.date.available | 2024-10-02T02:36:17Z | - |
dc.identifier.issn | 0952-1976 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/109224 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Healthcare | en_US |
dc.subject | Medical robotics | en_US |
dc.subject | Meta-analysis | en_US |
dc.subject | Orthopaedic surgery | en_US |
dc.title | Applications of artificial intelligence in Orthopaedic surgery : a systematic review and meta-analysis | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 133 | en_US |
dc.identifier.doi | 10.1016/j.engappai.2024.108326 | en_US |
dcterms.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. | en_US |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Engineering applications of artificial intelligence, July 2024, v. 133, pt. D, 108326 | en_US |
dcterms.isPartOf | Engineering applications of artificial intelligence | en_US |
dcterms.issued | 2024-07 | - |
dc.identifier.eissn | 1873-6769 | en_US |
dc.identifier.artn | 108326 | en_US |
dc.description.validate | 202410 bcch | en_US |
dc.description.oa | Not applicable | en_US |
dc.identifier.FolderNumber | a3218 | - |
dc.identifier.SubFormID | 49797 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | InnoHK Research Clusters | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2026-07-31 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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