An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information
In advanced medical treatments, hip replacement is widespread for treating joint damage. However, correct implant identification in revision surgeries becomes challenging due to integrated uncertainties. This article aims to introduce an intelligent approach based on fuzzy pattern recognition to red...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10806697/ |
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| author | Shenghao Zhao Ying Hu Jie Tang Yong Hu Jun Liu |
| author_facet | Shenghao Zhao Ying Hu Jie Tang Yong Hu Jun Liu |
| author_sort | Shenghao Zhao |
| collection | DOAJ |
| description | In advanced medical treatments, hip replacement is widespread for treating joint damage. However, correct implant identification in revision surgeries becomes challenging due to integrated uncertainties. This article aims to introduce an intelligent approach based on fuzzy pattern recognition to reduce uncertainty and ambiguity in implant identification during revision surgeries focusing on hip replacement. A well-known fuzzy framework, picture fuzzy rough set (PFRS), is utilized to introduce a new pattern recognition algorithm. In this article, the new similarity measures (SMs) are introduced for PFRS. Some fundamental properties of the introduced SMs are investigated. Then, the proposed SMs are used to formalize the pattern recognition algorithm. Finally, the proposed algorithm is utilized to identify the most suitable implant for joint replacement. The developed intelligent model reduces uncertainty and ambiguity in collected data using the idea of approximations, which classifies the information into boundaries to seek the perfect information for exact implant identification. In addition, the developed approach is the generalized approach of pattern recognition integrating rough set (RS) with fuzzy logic, which leads to accuracy enhancement in identifying implant types. The developed approach helps streamline revision surgeries and improve patient outcomes by reducing surgical complexities. |
| format | Article |
| id | doaj-art-f7eecb90c8e1435ab95524dcd33e1a1c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f7eecb90c8e1435ab95524dcd33e1a1c2024-12-28T00:00:36ZengIEEEIEEE Access2169-35362024-01-011219449219450410.1109/ACCESS.2024.351979210806697An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy InformationShenghao Zhao0https://orcid.org/0000-0001-9686-074XYing Hu1Jie Tang2Yong Hu3Jun Liu4https://orcid.org/0009-0001-7708-1764Department Joint and Sports Medicine of Orthopedics, Wuhan Fourth Hospital, Wuhan, ChinaDepartment of Ophthalmology, Renmin Hospital, Wuhan University, Wuhan, ChinaDepartment Joint and Sports Medicine of Orthopedics, Wuhan Fourth Hospital, Wuhan, ChinaDepartment Joint and Sports Medicine of Orthopedics, Wuhan Fourth Hospital, Wuhan, ChinaDepartment Traumatic of Orthopedics, Wuhan Fourth Hospital, Wuhan, ChinaIn advanced medical treatments, hip replacement is widespread for treating joint damage. However, correct implant identification in revision surgeries becomes challenging due to integrated uncertainties. This article aims to introduce an intelligent approach based on fuzzy pattern recognition to reduce uncertainty and ambiguity in implant identification during revision surgeries focusing on hip replacement. A well-known fuzzy framework, picture fuzzy rough set (PFRS), is utilized to introduce a new pattern recognition algorithm. In this article, the new similarity measures (SMs) are introduced for PFRS. Some fundamental properties of the introduced SMs are investigated. Then, the proposed SMs are used to formalize the pattern recognition algorithm. Finally, the proposed algorithm is utilized to identify the most suitable implant for joint replacement. The developed intelligent model reduces uncertainty and ambiguity in collected data using the idea of approximations, which classifies the information into boundaries to seek the perfect information for exact implant identification. In addition, the developed approach is the generalized approach of pattern recognition integrating rough set (RS) with fuzzy logic, which leads to accuracy enhancement in identifying implant types. The developed approach helps streamline revision surgeries and improve patient outcomes by reducing surgical complexities.https://ieeexplore.ieee.org/document/10806697/Pattern recognitionfuzzy sets and systemsdecision-makinghip replacement |
| spellingShingle | Shenghao Zhao Ying Hu Jie Tang Yong Hu Jun Liu An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information IEEE Access Pattern recognition fuzzy sets and systems decision-making hip replacement |
| title | An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information |
| title_full | An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information |
| title_fullStr | An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information |
| title_full_unstemmed | An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information |
| title_short | An Intelligent Pattern Recognition Algorithm for Implant Identification in Joint Replacement: A Novel Approach for Hip Replacement Surgery Using Fuzzy Information |
| title_sort | intelligent pattern recognition algorithm for implant identification in joint replacement a novel approach for hip replacement surgery using fuzzy information |
| topic | Pattern recognition fuzzy sets and systems decision-making hip replacement |
| url | https://ieeexplore.ieee.org/document/10806697/ |
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