| [1] |
|
| [2] |
Atanda A J, Livinski A A, London S D,et al. Tooth retention,health,and quality of life in older adults:A scoping review[J]. BMC Oral Health, 2022, 22(1):185. DOI: 10.1186/s12903-022-02210-5.
|
| [3] |
Sulaiman T A, Suliman A A, Abdulmajeed A A,et al. Zirconia restoration types,properties,tooth preparation design,and bonding. A narrative review[J]. J Esthet Restor Dent, 2024, 36(1):78-84. DOI: 10.1111/jerd.13151.
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
Vazzana A, Higgins O A, Oxilia G,et al. High-accuracy methodology for the integrative restoration of archaeological teeth by using reverse engineering techniques and rapid prototyping [J]. J Archaeol Sci Rep, 2022(44):103511. DOI: 10.1016/j.jasrep.2022.103511.
|
| [11] |
Janda M, Mattheos N. Prosthetic design and choice of components for maintenance of optimal peri-implant health:A comprehensive review[J]. Br Dent J, 2024, 236(10):765-771. DOI: 10.1038/s41415-024-7357-0.
|
| [12] |
|
| [13] |
Lin Y, Liu F, Zhang L,et al. Achieving high-strength,high-porosity and relatively low-shrinkage in extrusion-based 3D printed ZrO 2 ceramics by adjusting CaCO 3 addition and sintering temperature[J]. J Alloys Compd, 2024(1008):176809. DOI: 10.1016/j.jallcom.2024.176809.
|
| [14] |
Liu S, Li Q, Qu B,et al. Cooperative control of sintering shrinkage and strength of stereolithography 3D printed silica-based ceramic cores[J]. Ceramics International, 2025, 51(14):19435-19448. DOI: 10.1016/j.ceramint.2025.02.120.
|
| [15] |
Ausiello P, Dal Piva A M D O, Borges A L S,et al. Effect of Shrinking and no shrinking dentine and enamel replacing materials in posterior restoration:A 3D-FEA study[J]. Appl Sci Switz, 2021, 11(5):2215. DOI: 10.3390/app11052215.
|
| [16] |
|
| [17] |
孙玉春,李骋,陈虎.人工智能翻开口腔医学新篇章[J].现代口腔医学杂志,2022,36(6):361-364.
|
| [18] |
Zhu H, Jiang J, Wang Y,et al. Additive manufacturing of dental ceramics in prosthodontics:The status quo and the future[J]. J Prosthodont Res, 2024, 68(3):380-399. DOI: 10.2186/JPR.JPR_D_23_00119.
|
| [19] |
Sokolowski A, Huber S, Arefnia B,et al. The influence of prosthetic treatments and implant-supported prostheses on posterior mandibular ridge atrophy:A retrospective cohort study [J]. BMC Oral Health, 2025, 25(1):100. DOI: 10.1186/s12903-025-05467-8.
|
| [20] |
Sengottaiyan A K, Bennani V, Veerasamy A. Influence of tooth preparation design on margin discrepancy and internal gap in digitally fabricated fixed complete coverage zirconia prostheses:A systematic review of in vitro studies[J]. J Prosthet Dent, 2025, 134(3):616-627. DOI: 10.1016/j.prosdent.2025.04.030.
|
| [21] |
Zhao L, Jiang Z, Ma S,et al. Theoretical model based on stress waves and experimental verification of residual stress in stereolithography printed ZrO 2 porous ceramics[J]. Ceram Int, 2022, 48(16):23983-23988. DOI: 10.1016/j.ceramint.2022.05.073.
|
| [22] |
Revilla-León M, Gómez-Polo M, Vyas S,et al. Artificial intelligence models for tooth-supported fixed and removable prosthodontics:A systematic review[J]. J Prosthet Dent, 2023, 129(2):276-292. DOI: 10.1016/j.prosdent.2021.06.001.
|
| [23] |
Dawood E A, van Aelst S, Elgarba B M,et al. Mapping the artificial intelligence role in the design of digital prosthetics:A scoping review[J]. Digital Dent J, 2026, 3(1):100069. DOI: 10.1016/j.ddj.2026.100069.
|
| [24] |
Li B, Yang Y T, Capra J A,et al. Predicting changes in protein thermodynamic stability upon point mutation with deep 3D convolutional neural networks[J]. PLoS Comput Biol, 2020, 16(11):e1008291. DOI: 10.1371/journal.pcbi.1008291.
|
| [25] |
Farook T H, Ahmed S, Jamayet N B,et al. Computer-aided design and 3-dimensional artificial/convolutional neural network for digital partial dental crown synthesis and validation[J]. Sci Rep, 2023, 13(1):1561. DOI: 10.1038/s41598-023-28442-1.
|
| [26] |
Chen Y C, Wang K H, Lin C L. Personalized prosthesis design in all-on-4 ® treatment through deep learning-accelerated structural optimization[J]. J Dent Sci, 2024, 19(4):2140-2149. DOI: 10.1016/j.jds.2024.03.017.
|
| [27] |
Shu D, Cunningham J, Stump G,et al. 3D design using generative adversarial networks and physics-based validation[J]. J Mech Des, 2019, 142(7):071701. DOI: 10.1115/1.4045419.
|
| [28] |
Chau R C W, Hsung R T C, Mcgrath C,et al. Accuracy of artificial intelligence-designed single-molar dental prostheses:A feasibility study[J]. J Prosthet Dent, 2024, 131(6):1111-1117. DOI: 10.1016/j.prosdent.2022.12.004.
|
| [29] |
Ding H, Cui Z, Maghami E,et al. Morphology and mechanical performance of dental crown designed by 3D-DCGAN[J]. Dent Mater, 2023, 39(3):320-332. DOI: 10.1016/j.dental.2023.02.001.
|
| [30] |
Hosseinimanesh G, Alsheghri A, Keren J,et al. Personalized dental crown design:A point-to-mesh completion network[J]. Med Image Anal, 2025(101):103439. DOI: 10.1016/j.media.2024.103439.
|
| [31] |
Zheng S, Qiu L, Lan F,TSO-GCN:A Graph Convolutional Network approach for real-time and generalizable truss structural optimization[J]. Appl Soft Comput, 2023(134):110015. DOI: 10.1016/j.asoc.2023.110015.
|
| [32] |
Hu Y, Shi Y, Li H,et al. A self-supervised framework for mesh denoising using graph neural networks in dental applications[J]. Appl Soft Comput, 2025(185):113989. DOI: 10.1016/j.asoc.2025.113989.
|
| [33] |
Liu M, Li X, Liu J,et al. TUCNet:A channel and spatial attention-based graph convolutional network for teeth upsampling and completion[J]. Comput Biol Med, 2023(166):107519. DOI: 10.1016/j.compbiomed.2023.107519.
|
| [34] |
Zhao D, Su H, Hu K,et al. Formation mechanism and controlling strategy of lamellar structure in 3D printed alumina ceramics by digital light processing[J]. Addit Manuf, 2022(52):102650. DOI: 10.1016/j.addma.2022.102650.
|
| [35] |
Xu Y, Yang Z, Huang G,et al. Size shrinkage and compressive behaviour of Al 2O 3 honeycomb structures fabricated via Digital Light Processing technology[J]. Ceram Int, 2024, 50(22):45713-45722. DOI: 10.1016/j.ceramint.2024.08.412.
|
| [36] |
Kim I, Yoon Y J. Digital light processing 3D printing of porous ceramics:A systematic analysis from a debinding perspective[J]. Addit Manuf, 2024(93):104409. DOI: 10.1016/j.addma.2024.104409.
|
| [37] |
Zhang K, Meng Q, Qu Z,et al. A systematic insight into the DLP process of additive manufactured Al 2O 3 ceramic green body [J]. Ceram Int, 2026, 52(7):8464-8470. DOI: 10.1016/j.ceramint.2026.01.043.
|
| [38] |
Li X, Li J, Niu S,et al. Regulation of anisotropy in vat photopolymerization of silica-based ceramic cores based on particle grading[J]. Ceram Int, 2025, 51(27):52768-52776. DOI: 10.1016/j.ceramint.2025.09.036.
|
| [39] |
Soon C W, Leong C K J, Ho T Y K,et al. Mitigation of warpage in stereolithography 3D printed ceramics via addition of sterically bulky acrylate monomer[J]. J Am Ceram Soc, 2026, 109(1):e70266. DOI: 10.1111/jace.70266.
|
| [40] |
Yu L, Ren Z, Qiao Z. Advanced ceramics via digital light processing:Performance enhancement and potential applications [J]. J Am Ceram Soc, 2025, 108(11):e70062. DOI: 10.1111/jace.70062.
|
| [41] |
Dong Y, Dong T, Yang Z,et al. The influences of light scattering on digital light processing high-resolution ceramic additive manufacturing[J]. Ceram Int, 2024, 50(6):9556-9562. DOI: 10.1016/j.ceramint.2023.12.274.
|
| [42] |
Yu X, Wang Z, Wang Y,et al. Optimization,formation,and evolution of the photoinduced curing gradients and in-situ lamellar gaps in additive manufacturing of ZrO 2 ceramics:From curing to sintering behaviors[J]. J Eur Ceram Soc, 2023, 43(14):6279-6295. DOI: 10.1016/j.jeurceramsoc.2023.06.055.
|
| [43] |
Anil A, Nadimpalli R. Toward predictive dimensional accuracy in DLP-fabricated alumina lattices:Volumetric error and shrinkage control[J]. ACS Omega, 2026, 11(12):18760-18777. DOI: 10.1021/acsomega.5c09707.
|
| [44] |
Liu Y, Yuan S, Niu P,et al. Multi-dimensional optimization of slurry and synergistic suppression of interlayer cracking by layer thickness in DLP 3D printing silica-based ceramic cores[J]. Ceram Int, 2025, 51(26):48037-48051. DOI: 10.1016/j.ceramint.2025.08.064.
|
| [45] |
Santoliquido O, Camerota F, Ortona A. The influence of topology on DLP 3D printing,debinding and sintering of ceramic periodic architectures designed to replace bulky components[J]. Open Ceram, 2021(5):100059. DOI: 10.1016/j.oceram.2021.100059.
|
| [46] |
Fan J, Xu X, Niu S,et al. Anisotropy management on microstructure and mechanical property in 3D printing of silica-based ceramic cores[J]. J Eur Ceram Soc, 2022, 42(10):4388-4395. DOI: 10.1016/j.jeurceramsoc.2022.03.059.
|
| [47] |
Mohammed M K, Alahmari A, Alkhalefah H,et al. Evaluation of zirconia ceramics fabricated through DLP 3D printing process for dental applications[J]. Heliyon, 2024, 10(17):e36725. DOI: 10.1016/j.heliyon.2024.e36725.
|
| [48] |
Zhao W, Singh P, Han J,et al. Precision-optimized process control in DLP printing of ultra-thin zirconia prostheses:A multi-factor accuracy analysis[J]. Dent Mater, 2025, 41(12):1609-1619. DOI: 10.1016/j.dental.2025.08.019.
|
| [49] |
Yun Y, Deqiao X, Chen J,et al. Mechanism of ceramic slurry light scattering affecting contour accuracy and method of projection plane correction[J]. Ceram Int, 2023, 49(10):15024-15033. DOI: 10.1016/j.ceramint.2023.01.085.
|
| [50] |
Son K, Lee J M, Jang K J,et al. Effect of pixel offset adjustments for XY Plane dimensional compensation in digital light processing 3D Printing on the surface trueness and fit of zirconia crowns[J]. J Funct Biomater, 2025, 16(3):103. DOI: 10.3390/jfb16030103.
|
| [51] |
Puchakayla P K R, Gandhi P, Singh G. Digital light processing based additive manufacturing of 3-YSZ:A constitutive modeling driven finite element analysis for sintering shrinkage and deformation[J]. J Manuf Process, 2025(156):711-726. DOI: 10.1016/j.jmapro.2025.10.086.
|
| [52] |
Hsu H J, Lee S Y, Chang S L,et al. Shrinkage prediction using finite element analysis and experimental validation using three-dimension slurry printing system[J]. Int J Adv Manuf Technol, 2017, 91(1):1289-1296. DOI: 10.1007/s00170-016-9842-3.
|
| [53] |
Sharma A, Saini R S, Kaushik A,et al. Machine learning based approach for surface roughness prediction in precision dental prototyping[J]. Sci Rep, 2025, 15(1):32239. DOI: 10.1038/s41598-025-17487-z.
|
| [54] |
Wang Y, Wang Z, Yu X,et al. Predicting dimensional deviation for sintering-induced shrinkage of Al 2O 3 ceramics manufactured by vat photopolymerization:Using convolutional neural network [J]. Mater Today Commun, 2023(37):107309. DOI: 10.1016/j.mtcomm.2023.107309.
|
| [55] |
Tarak F. AI-Assisted AM for dimensionally accurate ceramic vat-photopolymerisation[D]. Loughborough:Loughborough University, 2026. DOI: 10.26174/thesis.lboro.31347844.
|
| [56] |
Lian Q, Wu X, Li D,et al. Accurate printing of a zirconia molar crown bridge using three-part auxiliary supports and ceramic mask projection stereolithography[J]. Ceram Int, 2019, 45(15):18814-18822. DOI: 10.1016/j.ceramint.2019.06.111.
|
| [57] |
Li R, Xu T, Wang Y,et al. Accuracy of zirconia crowns manufactured by stereolithography with an occlusal full-supporting structure:An in vitro study[J]. J Prosthet Dent, 2023, 130(6):902-907. DOI: 10.1016/j.prosdent.2022.01.015.
|