Morphological comparison between artificial intelligence-driven and manual CAD design in single tooth restoration: a preliminary study.
Objective: The integration of artificial intelligence (AI) into CAD/CAM workflows has revolutionized dental prosthetics manufacturing, yet its morphological trueness compared to manual design remains underexplored. Materials and methods: This study evaluated 30 single-tooth restoration cases from 30...
| Publicado en: | BMC Oral Health Vol. 25; no. 1; pp. 1 - 8 |
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| Autores principales: | , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
BioMed Central
10/17/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188778122&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188778122 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726831 1CIC jtl: BMC Oral Health issn: 14726831 maglogo: N pubinfo: dt: 10/17/2025 vid: 25 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 188778122 188778122 188778122 10.1186/s12903-025-07004-z 188778122 ppf: 1 ppct: 7 formats: tig: atl: Morphological comparison between artificial intelligence-driven and manual CAD design in single tooth restoration: a preliminary study. aug: au: Xie, Bing-ying He, Xiao Hu, Li Guo, Shan-lin Chen, Jun-lan Zhang, Jing Shen, Xiao-qing Geng, Yuan-ming Li, Wei affil: https://ror.org/01vjw4z39 Department of Stomatology, Zhujiang Hospital, Southern Medical University, 253 Gongyedadao Road, 510282, Guangzhou, China sug: subj: Artificial Intelligence Computer-Aided Design Dental Restoration, Permanent Dental Prosthesis Design Human Funding Source Comparative Studies Descriptive Statistics Data Analysis Software Paired T-Tests Two-Tailed Test Wilcoxon Signed Rank Test Workflow Information Science Image Processing, Computer Assisted Time Factors Reproducibility of Results ab: Objective: The integration of artificial intelligence (AI) into CAD/CAM workflows has revolutionized dental prosthetics manufacturing, yet its morphological trueness compared to manual design remains underexplored. Materials and methods: This study evaluated 30 single-tooth restoration cases from 30 patients. For each case, the original clinically-approved designs were used as reference. AI designs (3Shape Automate) were compared to manual designs created by a technician (3Shape Dental System™). Morphological trueness was evaluated through 3D deviation analysis. Global surface deviations (RMSE) were compared using the Wilcoxon signed-rank test, and maximum discrepancies were compared with a paired Student's t-test, with significance set at p < 0.05. Results: While AI demonstrated batch-processing efficiency, 6.7% of cases (2/30) with suboptimal preparation geometries required manual intervention. No significant difference was found in global surface deviation between AI (median = 79.8 μm) and manual designs (median = 68.6 μm; p = 0.1056). However, AI designs produced significantly greater maximum discrepancies (mean = 225.0 μm) compared to manual designs (mean = 184.4 μm; p = 0.0243). Conclusion: These findings validate AI's viability for routine restoration design but emphasize the necessity of case selection protocols and algorithm improvements for dynamic occlusion modeling to ensure comprehensive clinical adoption. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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