Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review
<h3>Purpose</h3><p dir="ltr">This systematic review aimed to investigate the reliability of AI predictive models of intraoperative implant sizing in total knee arthroplasty (TKA).</p><h3>Methods</h3><p dir="ltr">Four databases were search...
محفوظ في:
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| مؤلفون آخرون: | , , , , , , , |
| منشور في: |
2023
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إضافة وسم
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| _version_ | 1864513521156358144 |
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| author | Loay A. Salman (14150322) |
| author2 | Harman Khatkar (17765961) Abdallah Al-Ani (10687939) Osama Z. Alzobi (17346922) Abedallah Abudalou (17707245) Ashraf T. Hatnouly (17773212) Ghalib Ahmed (14146800) Shamsi Hameed (14150325) Mohamed AlAteeq Aldosari (17773218) |
| author2_role | author author author author author author author author |
| author_facet | Loay A. Salman (14150322) Harman Khatkar (17765961) Abdallah Al-Ani (10687939) Osama Z. Alzobi (17346922) Abedallah Abudalou (17707245) Ashraf T. Hatnouly (17773212) Ghalib Ahmed (14146800) Shamsi Hameed (14150325) Mohamed AlAteeq Aldosari (17773218) |
| author_role | author |
| dc.creator.none.fl_str_mv | Loay A. Salman (14150322) Harman Khatkar (17765961) Abdallah Al-Ani (10687939) Osama Z. Alzobi (17346922) Abedallah Abudalou (17707245) Ashraf T. Hatnouly (17773212) Ghalib Ahmed (14146800) Shamsi Hameed (14150325) Mohamed AlAteeq Aldosari (17773218) |
| dc.date.none.fl_str_mv | 2023-11-27T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s00590-023-03784-8 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Reliability_of_artificial_intelligence_in_predicting_total_knee_arthroplasty_component_sizes_a_systematic_review/24980841 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning Artifcial intelligence Machine learning Orthopaedics Knee Arthroplasty |
| dc.title.none.fl_str_mv | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Purpose</h3><p dir="ltr">This systematic review aimed to investigate the reliability of AI predictive models of intraoperative implant sizing in total knee arthroplasty (TKA).</p><h3>Methods</h3><p dir="ltr">Four databases were searched from inception till July 2023 for original studies that studied the reliability of AI prediction in TKA. The primary outcome was the accuracy ± 1 size. This review was conducted per PRISMA guidelines, and the risk of bias was assessed using the MINORS criteria.</p><h3>Results</h3><p dir="ltr">A total of four observational studies comprised of at least 34,547 patients were included in this review. A mean MINORS score of 11 out of 16 was assigned to the review. All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size.</p><h3>Conclusion</h3><p dir="ltr">This study demonstrated the potential of AI as a valuable complement for planning TKA, exhibiting a satisfactory level of reliability in predicting TKA implant sizes. This predictive accuracy is comparable to that of the manual and digital templating techniques currently documented in the literature. However, future research is imperative to assess the impact of AI on patient care and cost-effectiveness.</p><h3>Level of evidence III</h3><p dir="ltr">PROSPERO registration number: CRD42023446868.</p><h2>Other Information</h2><p dir="ltr">Published in: European Journal of Orthopaedic Surgery & Traumatology<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s00590-023-03784-8" target="_blank">https://dx.doi.org/10.1007/s00590-023-03784-8</a></p><p dir="ltr">Additional institutions affiliated with: Surgical Specialty Center - HMC</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_de52c767c64082c4fde9c7bc0ecfd14b |
| identifier_str_mv | 10.1007/s00590-023-03784-8 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24980841 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic reviewLoay A. Salman (14150322)Harman Khatkar (17765961)Abdallah Al-Ani (10687939)Osama Z. Alzobi (17346922)Abedallah Abudalou (17707245)Ashraf T. Hatnouly (17773212)Ghalib Ahmed (14146800)Shamsi Hameed (14150325)Mohamed AlAteeq Aldosari (17773218)Biomedical and clinical sciencesClinical sciencesHealth sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceMachine learningArtifcial intelligenceMachine learningOrthopaedicsKneeArthroplasty<h3>Purpose</h3><p dir="ltr">This systematic review aimed to investigate the reliability of AI predictive models of intraoperative implant sizing in total knee arthroplasty (TKA).</p><h3>Methods</h3><p dir="ltr">Four databases were searched from inception till July 2023 for original studies that studied the reliability of AI prediction in TKA. The primary outcome was the accuracy ± 1 size. This review was conducted per PRISMA guidelines, and the risk of bias was assessed using the MINORS criteria.</p><h3>Results</h3><p dir="ltr">A total of four observational studies comprised of at least 34,547 patients were included in this review. A mean MINORS score of 11 out of 16 was assigned to the review. All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size.</p><h3>Conclusion</h3><p dir="ltr">This study demonstrated the potential of AI as a valuable complement for planning TKA, exhibiting a satisfactory level of reliability in predicting TKA implant sizes. This predictive accuracy is comparable to that of the manual and digital templating techniques currently documented in the literature. However, future research is imperative to assess the impact of AI on patient care and cost-effectiveness.</p><h3>Level of evidence III</h3><p dir="ltr">PROSPERO registration number: CRD42023446868.</p><h2>Other Information</h2><p dir="ltr">Published in: European Journal of Orthopaedic Surgery & Traumatology<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s00590-023-03784-8" target="_blank">https://dx.doi.org/10.1007/s00590-023-03784-8</a></p><p dir="ltr">Additional institutions affiliated with: Surgical Specialty Center - HMC</p>2023-11-27T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s00590-023-03784-8https://figshare.com/articles/journal_contribution/Reliability_of_artificial_intelligence_in_predicting_total_knee_arthroplasty_component_sizes_a_systematic_review/24980841CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/249808412023-11-27T03:00:00Z |
| spellingShingle | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review Loay A. Salman (14150322) Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning Artifcial intelligence Machine learning Orthopaedics Knee Arthroplasty |
| status_str | publishedVersion |
| title | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| title_full | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| title_fullStr | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| title_full_unstemmed | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| title_short | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| title_sort | Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review |
| topic | Biomedical and clinical sciences Clinical sciences Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning Artifcial intelligence Machine learning Orthopaedics Knee Arthroplasty |