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AI for Good Innovate for Impact



                    tooth morphology, emergence profile, occlusion, and proximal contacts,” J. Dent., vol.
                    147, 105142, 2024. [Online]. Available: https:// doi .org/ 10 .1016/  .jdent .2024 .105142
                                                                              j
               [4]  G. Çakmak, J.-H. Cho, J. Choi, H.-I. Yoon, B. Yilmaz, and M. Schimmel,
                     “Can deep learning-designed anterior tooth-borne crown fulfill morphologic, aesthetic,
                    and functional criteria in clinical practice?” J. Dent., vol. 150, 105368, 2024. [Online].      4.1-Healthcare
                                                    j
                    Available: https:// doi .org/ 10 .1016/  .jdent .2024 .105368
               [5]  J. Choi, J. Ahn, and J.-M. Park, “Deep learning-based automated detection of the dental
                    crown finish line: An accuracy study,” J. Prosthet. Dent., vol. 132, no. 6, pp. 1286.e1–1286.
                                                                         j
                    e9, Dec. 2024. [Online]. Available: https:// doi .org/ 10 .1016/  .prosdent .2023 .11 .018










































































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