AI-driven crown generation: A comparative analysis of point cloud completion models for mandibular first molar restoration.

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Title: AI-driven crown generation: A comparative analysis of point cloud completion models for mandibular first molar restoration.
Authors: Shu Z; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Oral Implants, School of Stomatology, The Fourth Military Medical University, Xi'an 710072, China. Electronic address: shuzhiyuan@fmmu.edu.cn., Tian M; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Oral Implants, School of Stomatology, The Fourth Military Medical University, Xi'an 710072, China. Electronic address: tianmiaomiao@fmmu.edu.cn., Wei H; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Oral Implants, School of Stomatology, The Fourth Military Medical University, Xi'an 710072, China. Electronic address: weihongbo@fmmu.edu.cn.
Source: Journal of dentistry [J Dent] 2026 May; Vol. 168, pp. 106581. Date of Electronic Publication: 2026 Feb 16.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0354422 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-176X (Electronic) Linking ISSN: 03005712 NLM ISO Abbreviation: J Dent Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Shu+Z%22">Shu Z</searchLink>; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Oral Implants, School of Stomatology, The Fourth Military Medical University, Xi'an 710072, China. Electronic address: shuzhiyuan@fmmu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Tian+M%22">Tian M</searchLink>; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Oral Implants, School of Stomatology, The Fourth Military Medical University, Xi'an 710072, China. Electronic address: tianmiaomiao@fmmu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wei+H%22">Wei H</searchLink>; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Oral Implants, School of Stomatology, The Fourth Military Medical University, Xi'an 710072, China. Electronic address: weihongbo@fmmu.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%220354422%22">Journal of dentistry</searchLink> [J Dent] 2026 May; Vol. 168, pp. 106581. <i>Date of Electronic Publication: </i>2026 Feb 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0354422 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-176X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203005712%22">03005712 </searchLink><i>NLM ISO Abbreviation: </i>J Dent <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jdent.2026.106581
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      – Code: eng
        Text: English
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      – TitleFull: AI-driven crown generation: A comparative analysis of point cloud completion models for mandibular first molar restoration.
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            NameFull: Shu Z
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            NameFull: Tian M
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              Text: 2026 May
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              Y: 2026
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