Page 76 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      In addition to supporting single crowns, bridges, and inlays, new solutions will be developed
                      and launched for Full-mouth restorations, Implant surgical guides, and Automated design of
                      custom implant abutments. Through these advancements, market share will be increased, and
                      contributions will be made to improving global oral health.


                      3      Use Case Requirements
                      •    REQ-01: It is critical that the Dentbird Solution collects high-quality data, including
                           complex and rare clinical cases, to ensure sufficient diversity and precision in AI training
                           and design performance.
                      •    REQ-02: It is essential that the platform supports ongoing model development and
                           optimization using deep learning techniques, enabling accurate crown and prosthesis
                           designs across a wide range of patient scenarios.
                      •    REQ-03: It is required that the solution expands clinical applicability by supporting
                           implant surgical guides, and custom abutment designs, thereby increasing the utility of
                           AI in diverse prosthetic treatments.
                      •    REQ-04: It is critical that the system incorporates user feedback into continuous model
                           updates, refining AI performance and enhancing user experience through data-driven
                           improvement cycles.


                      4      Sequence Diagram


































                      5      References

                      [1]  Imagoworks Inc., “Dentbird: AI-powered dental CAD solution,” Dentbird, [Online].
                           Available: https:// www .dentbird .com/ . [Accessed: 6-Jun-2025].
                      [2]  J.-H. Cho, G. Çakmak, Y. Yi, H.-I. Yoon, B. Yilmaz, and M. Schimmel,
                            “Tooth morphology, internal fit, occlusion and proximal contacts of dental crowns
                           designed by deep learning-based dental software: A comparative study,” J. Dent., vol.
                           141, 104830, 2024. [Online]. Available: https:// doi .org/ 10 .1016/  .jdent .2023 .104830
                                                                                     j
                      [3]  J.-H. Cho, G. Çakmak, J. Choi, D. Lee, H.-I. Yoon, B. Yilmaz, and M. Schimmel,
                            “Deep learning-designed implant-supported posterior crowns: Assessing time efficiency,




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