Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars
The application of deep learning (DL) has become widespread with the development of digital medicine. At present, DL has been gradually applied to the fields of stomatology. Multiple studies have applied DL, combined with preoperative examination images such as X ray and cone beam CT (CBCT) images,...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Oral and Maxillofacial Surgery
2024-06-01
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| Series: | Kouqiang hemian waike zazhi |
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| Online Access: | https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2024.03.009 |
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| _version_ | 1849225130022010880 |
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| author | HUANG Jiaqi LI Ang KOU Yifan Ayagusi Sailike CHEN Lidan ZHANG Xueming |
| author_facet | HUANG Jiaqi LI Ang KOU Yifan Ayagusi Sailike CHEN Lidan ZHANG Xueming |
| author_sort | HUANG Jiaqi |
| collection | DOAJ |
| description | The application of deep learning (DL) has become widespread with the development of digital medicine. At present, DL has been gradually applied to the fields of stomatology. Multiple studies have applied DL, combined with preoperative examination images such as X ray and cone beam CT (CBCT) images, to assist clinical diagnosis and decision-making in dealing with impacted mandibular third molar (IMTM). Besides, inferior alveolar nerve (IAN) injury is one of the most serious sequelae after extraction of IMTM. Combined with imageological examination, DL can provide objective and accurate estimation of the risk of IAN injury to improve the outcome of treatment. This paper reviews the current application of DL in preoperative image recognition, preoperative auxiliary diagnosis and evaluation, and IAN injury prognosis prediction in the extraction of IMTM, and looked into the role of DL in the extraction of IMTM in the future. |
| format | Article |
| id | doaj-art-c8ebaee05d634d29ad8cfb41a14973cb |
| institution | Kabale University |
| issn | 1005-4979 |
| language | zho |
| publishDate | 2024-06-01 |
| publisher | Editorial Office of Journal of Oral and Maxillofacial Surgery |
| record_format | Article |
| series | Kouqiang hemian waike zazhi |
| spelling | doaj-art-c8ebaee05d634d29ad8cfb41a14973cb2025-08-25T06:11:05ZzhoEditorial Office of Journal of Oral and Maxillofacial SurgeryKouqiang hemian waike zazhi1005-49792024-06-0134322322610.12439/kqhm.1005-4979.2024.03.009Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molarsHUANG Jiaqi0LI Ang1KOU Yifan2Ayagusi Sailike3CHEN Lidan4ZHANG Xueming5Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Oral and Maxillofacial Surgery, Stomatological Hospital and Dental School, Tongji University, Shanghai 200072Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Oral and Maxillofacial Surgery, Stomatological Hospital and Dental School, Tongji University, Shanghai 200072School of Medicine, Tongji University, Shanghai 200092, ChinaShanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Oral and Maxillofacial Surgery, Stomatological Hospital and Dental School, Tongji University, Shanghai 200072Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Oral and Maxillofacial Surgery, Stomatological Hospital and Dental School, Tongji University, Shanghai 200072Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Oral and Maxillofacial Surgery, Stomatological Hospital and Dental School, Tongji University, Shanghai 200072The application of deep learning (DL) has become widespread with the development of digital medicine. At present, DL has been gradually applied to the fields of stomatology. Multiple studies have applied DL, combined with preoperative examination images such as X ray and cone beam CT (CBCT) images, to assist clinical diagnosis and decision-making in dealing with impacted mandibular third molar (IMTM). Besides, inferior alveolar nerve (IAN) injury is one of the most serious sequelae after extraction of IMTM. Combined with imageological examination, DL can provide objective and accurate estimation of the risk of IAN injury to improve the outcome of treatment. This paper reviews the current application of DL in preoperative image recognition, preoperative auxiliary diagnosis and evaluation, and IAN injury prognosis prediction in the extraction of IMTM, and looked into the role of DL in the extraction of IMTM in the future.https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2024.03.009deep learningimpacted mandibular third molartooth extractionorthopantomogramcone beam ctinferior alveolar nerve injury |
| spellingShingle | HUANG Jiaqi LI Ang KOU Yifan Ayagusi Sailike CHEN Lidan ZHANG Xueming Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars Kouqiang hemian waike zazhi deep learning impacted mandibular third molar tooth extraction orthopantomogram cone beam ct inferior alveolar nerve injury |
| title | Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars |
| title_full | Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars |
| title_fullStr | Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars |
| title_full_unstemmed | Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars |
| title_short | Advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars |
| title_sort | advances in the application of deep learning to the risk assessment of nerve damage associated with extraction of impacted mandibular third molars |
| topic | deep learning impacted mandibular third molar tooth extraction orthopantomogram cone beam ct inferior alveolar nerve injury |
| url | https://journal06.magtech.org.cn/Jweb_joms/EN/10.12439/kqhm.1005-4979.2024.03.009 |
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