A simulation-based study of 3D printing angle optimization by integrating deep learning and NSGA-III for prosthesis and retainer manufacturing.
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| Title: | A simulation-based study of 3D printing angle optimization by integrating deep learning and NSGA-III for prosthesis and retainer manufacturing. |
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| Authors: | Hu YD; Graduate student, Department of Information management, National Formosa University, Yulin, Taiwan, ROC., Lin YK; Assistant Professor, Department of Information management, National Formosa University, Yulin, Taiwan, ROC. Electronic address: robertlin@nfu.edu.tw., Chen JH; Attending, Division of Prosthodontics, Department of Dentistry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, ROC; Director, Department of Dentistry, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan, ROC; and Assistant Professor, School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, ROC. |
| Source: | The Journal of prosthetic dentistry [J Prosthet Dent] 2026 Jul; Vol. 136 (1), pp. e207-e216. Date of Electronic Publication: 2026 Apr 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Mosby-Year Book Country of Publication: United States NLM ID: 0376364 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6841 (Electronic) Linking ISSN: 00223913 NLM ISO Abbreviation: J Prosthet Dent Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1097-6841 |
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| DOI: | 10.1016/j.prosdent.2026.03.015 |
