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Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis—Review of literature and in vitro case study.

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Title: Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis—Review of literature and in vitro case study.
Authors: Ampadi Ramachandran, Remya1, rampad2@uic.edu, Chi, Sheng-Wei2, Srinivasa Pai, P.3, Foucher, Kharma4, Ozevin, Didem2, Mathew, Mathew T.1,5
Source: Medical & Biological Engineering & Computing; Jun2023, Vol. 61 Issue 6, p1239-1255, 17p, 2 Black and White Photographs, 7 Diagrams, 5 Charts, 5 Graphs
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Jun2023, Vol. 61 Issue 6, p1239-1255, 17p, 2 Black and White Photographs, 7 Diagrams, 5 Charts, 5 Graphs
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RecordInfo BibRecord:
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        Value: 10.1007/s11517-023-02779-1
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis—Review of literature and in vitro case study.
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            NameFull: Ampadi Ramachandran, Remya
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            NameFull: Chi, Sheng-Wei
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            NameFull: Srinivasa Pai, P.
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            NameFull: Ozevin, Didem
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            – D: 01
              M: 06
              Text: Jun2023
              Type: published
              Y: 2023
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