Ortodontide Dijital Dönüşüm ve Dinamik Kayıtlar
Özet
Referanslar
Alsaleh A. The impact of technological advancement on culture and society. Scientific Reports. 2024;14(1): 32140. doi: 10.1038/s41598-024-83995-z
Krauss A. New scientific fields are triggered by powerful new methods. Humanities and Social Sciences Communications. 2025;12(1): 1590. doi: 10.1057/s41599-025-05797-6
Turing AM. Computing machinery and intelligence. Mind. 1950;59(236): 433–460.
Blum IR. Primary care dentistry: Past, present and future. Journal of Dentistry. 2024;145: 105007. doi: 10.1016/j.jdent.2024.105007
Adel S, Zaher A, El Harouni N, Venugopal A, Premjani P, Vaid N. Robotic applications in orthodontics: Changing the face of contemporary clinical care. Biomed Research International. 2021;2021: 9954615. doi: 10.1155/2021/9954615
Lin YM. Digitalisation in dentistry: Development and practices. In: Kim YC, Chen PC (eds.). The Digitization of Business in China. Palgrave Macmillan Asian Business Series. Cham: Palgrave Macmillan; 2018. p. 199–217. doi: 10.1007/978-3-319-79048-0_8
Haidar ZS. Digital dentistry: Past, present, and future. Digital Medicine and Healthcare Technology. 2023;2: 1-16. doi: 10.5772/dmht.17
Bhatia AP, Tiwari S. Artificial intelligence: An advancing front of dentistry. Acta Scientific Dental Sciences. 2019;3: 135–138. doi: 10.31080/ASDS.2019.03.0714
Thurzo A, Urbanová W, Novák B, et al. Where is artificial intelligence applied in dentistry? Systematic review and literature analysis. Healthcare (Basel). 2022;10(7): 1269. doi: 10.3390/healthcare10071269
Miranda F, Barone S, Gillot M, et al. Artificial intelligence applications in orthodontics. Journal of the California Dental Association. 2023;51(1): 2195585. doi: 10.1080/19424396.2023.2195585
Subramanian AK, Chen Y, Almalki A, et al. Cephalometric analysis in orthodontics using artificial intelligence: A comprehensive review. Biomed Research International. 2022;2022: 1880113. doi: 10.1155/2022/1880113
Kim H, Shim E, Park J, et al. Web-based fully automated cephalometric analysis by deep learning. Computer Methods and Programs in Biomedicine. 2020;194: 105513. doi: 10.1016/j.cmpb.2020.105513
Lee JH, Yu HJ, Kim MJ, et al. Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks. BMC Oral Health. 2020;20(1): 270. doi: 10.1186/s12903-020-01256-7
de Queiroz Tavares Borges Mesquita G, Vieira WA, Vidigal MTC, et al. Artificial intelligence for detecting cephalometric landmarks: A systematic review and meta-analysis. Journal of Digital Imaging. 2023;36(3): 1158–1179. doi:10.1007/s10278-022-00766-w
Christopoulou I, Kaklamanos EG, Makrygiannakis MA, et al. Intraoral scanners in orthodontics: A critical review. International Journal of Environmental Research and Public Health. 2022;19(3): 1407. doi: 10.3390/ijerph19031407
Kong L, Li Y, Liu Z. Digital versus conventional full-arch impressions in linear and 3D accuracy: A systematic review and meta-analysis of in vivo studies. Clinical Oral Investigations. 2022;26(9): 5625–5642. doi: 10.1007/s00784-022-04607-6
Lee KC, Park SJ. Digital intraoral scanners and alginate impressions in reproducing full dental arches: A comparative 3D assessment. Applied Sciences. 2020;10(21): 7637. doi:10.3390/app10217637
Bock NC, Klaus K, Liebel MM, et al. What to prefer in patients with multibracket appliances? Digital vs. conventional full-arch impressions—A reference aid-based in vivo study. Journal of Clinical Medicine. 2023;12(9): 3071. doi: 10.3390/jcm12093071
Ryu J, Lee YS, Mo SP, et al. Application of deep learning artificial intelligence technique to the classification of clinical orthodontic photos. BMC Oral Health. 2022;22(1): 454. doi: 10.1186/s12903-022-02465-0
Polizzi A, Quinzi V, Ronsivalle V, et al. Tooth automatic segmentation from CBCT images: A systematic review. Clinical Oral Investigations. 2023;27(7): 3363–3378. doi: 10.1007/s00784-023-04945-4
Murugesan A, Sivakumar A. Comparison of accuracy of mesiodistal tooth measurements made in conventional study models and digital models obtained from intraoral scan and desktop scan of study models. Journal of Orthodontics. 2020;47(2): 149–155. doi: 10.1177/1465312520902484
Kustrzycka D, Marschang T, Mikulewicz M, et al. Comparison of the accuracy of 3D images obtained from different types of scanners: A systematic review. Journal of Healthcare Engineering. 2020;2020: 8854204. doi: 10.1155/2020/8854204
Jaber ST, Hajeer MY, Sultan K. Treatment effectiveness of clear aligners in correcting complicated and severe malocclusion cases compared to fixed orthodontic appliances: A systematic review. Cureus. 2023;15(4). doi: 10.7759/cureus.38311
El Mouden L, Zahour A. Effectiveness and efficiency of orthodontic treatment using fixed appliances versus aligners: A systematic review. 2025. doi: 10.5772/intechopen.113731
AlMogbel A. Clear aligner therapy: Up-to-date review article. Journal of Orthodontic Science. 2023;12: 37. doi:10.4103/jos.jos_30_23
Elabed I, Zheng Z, Zhang Y, Chung CH, Li C. The Mechanical and Clinical Properties of Customized Orthodontic Bracket Systems—A Comprehensive Review. J Funct Biomater. 2024;15(10): 299. doi: 10.3390/jfb15100299.
Gracco A, Tracey S. The Insignia System of Customized Orthodontics. J Clin Orthod. 2011;45(8): 442-468.
Hegele J, Seitz L, Claussen C, Baumert U, Sabbagh H, Wichelhaus A. Clinical effects with customized brackets and CAD/CAM technology: a prospective controlled study. Prog Orthod. 2021;22(1): 40. doi:10.1186/s40510-021-00386-0
Philip S, Kajal, Goyal V, Singh G, Kannan S, Singh RK, et al. Robotic Applications in Orthodontics: Overview of Existing Research. SVOA Dentistry. 2023;4(6): 273-275.
Sucu K, Özer M. Evaluation of Bracket Positioning; A Customized System Versus the Conventional Method. Turk J Orthod. 2025;38(4): 206-215. doi:10.4274/TurkJOrthod.2025.2025.44
Park JH, Kim JH, Rogowski L, et al. Implementation of teledentistry for orthodontic practices. Journal of the World Federation of Orthodontists. 2021;10(1): 9-13. doi: 10.1016/j.ejwf.2020.11.002
Al-Moghrabi D, Pandis N, McLaughlin K, et al. Evaluation of the effectiveness of a tailored mobile application in increasing the duration of wear of thermoplastic retainers: A randomized controlled trial. European Journal of Orthodontics. 2020;42(5): 571-579. doi: 10.1093/ejo/cjz078
Woodford SC, Robinson DL, Mehl A, et al. Measurement of normal and pathological mandibular and temporomandibular joint kinematics: A systematic review. Journal of Biomechanics. 2020;111: 109994. doi: 10.1016/j.jbiomech.2020.109994
Soboļeva U, Lauriņa L, Slaidiņa A. Jaw tracking devices—Historical review of methods development. Part II. Stomatologija. 2005;7(3): 72–76.
Landes CA, Sterz M. Evaluation of condylar translation by sonography versus axiography in orthognathic surgery patients. Journal of Oral and Maxillofacial Surgery. 2003;61(12): 1410-1417. doi: 10.1016/S0278-2391(03)00755-4
Ratzmann A, Mundt T, Schwahn C, et al. Comparative clinical investigation of horizontal condylar inclination using the JMA electronic recording system and a protrusive wax record for setting articulators. International Journal of Computerized Dentistry. 2007;10(3): 265–284.
Ewers R, Schicho K, Undt G, et al. Basic research and 12 years of clinical experience in computer-assisted navigation technology: A review. International Journal of Oral and Maxillofacial Surgery. 2005;34(1): 1–8. doi: 10.1016/j.ijom.2004.06.006
Ettlin DA, Mang H, Colombo V, et al. Stereometric assessment of TMJ space variation by occlusal splints. Journal of Dental Research. 2008;87(9): 877–881. doi: 10.1177/154405910808700909
Vilanova LSR, Gonçalves TMSV, Pimentel MJ, et al. Mastication movements and sleep quality of patients with myofascial pain: Occlusal device therapy improvements. The Journal of Prosthetic Dentistry. 2014;112(6): 1330–1336. doi: 10.1016/j.prosdent.2014.03.015
Revilla-León M, Kois DE, Zeitler JM, et al. An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices. Journal of Esthetic and Restorative Dentistry. 2023;35(5): 735–744. doi: 10.1111/jerd.13011
Luce CE. The movements of the lower jaw. The Boston Medical and Surgical Journal. 1889;121(1): 8-11.
Fuentes R, Navarro P, Curiqueo A, et al. Determination of mandibular border and functional movement protocols using an electromagnetic articulograph (EMA). International Journal of Clinical and Experimental Medicine. 2015;8(11): 19905–19916.
Soboļeva U, Lauriņa L, Slaidiņa A. Jaw tracking devices-Historical review of methods development. Part I. Stomatologija. 2005;7(3): 67-71.
Jász B, Balogh T, Ambrus S, et al. Pure rotation in the temporomandibular joint during jaw opening? A digital motion analysis. BDJ Open. 2024;10(1): 32. doi: 10.1038/s41405-024-00182-0
Park C. Application of ARCUS digma I, II systems for full mouth reconstruction: a case report. Journal of Dental Rehabilitation and Applied Science. 2016;32(4): 345-350. doi: 10.14368/jdras.2016.32.4.345
Kijak E, Lietz-Kijak D, Frączak B, et al. Assessment of the TMJ dysfunction using the computerized facebow analysis of selected parameters. Biomed Research International. 2015;2015: 508069. doi: 10.1155/2015/508069
Hugger A, Boloni E, Berntien U, et al. (eds.). Accuracy of an ultrasonic measurement system for jaw movement recording. Journal of Dental Research. 2001;80(4): 1226.
Mazzetto MO, Anacleto MA, Rodrigues CA, et al. Comparison of mandibular movements in TMD by means of a 3D ultrasonic system and digital caliper rule. Cranio®. 2017;35(1): 46-51. doi: 10.1080/08869634.2016.1145221
Revilla-León M, Zeitler JM, Fry E, Kois JC. Digital workflow to measure the mandibular range of motion using different jaw tracking technologies. The Journal of Prosthetic Dentistry. 2025;134(4): 1208-1215. doi: 10.1016/j.prosdent.2024.01.012
Jucevičius M. Development and investigation of a method for direct and continuous jaw motion monitoring. Kaunas: Kauno technologijos universitetas; Doctoral thesis. 2023.
Chen C, Lin C, Chen Y, et al. A method for measuring three-dimensional mandibular kinematics in vivo using single-plane fluoroscopy. Dentomaxillofacial Radiology. 2013;42(1): 20120084. doi: 10.1259/dmfr.20120084
Jakubowska S, Szerszeń MP, Kostrzewa-Janicka J. Jaw motion tracking systems—Literature review. Protetyka Stomatologiczna. 2023;73(1):18-28. doi: 10.5114/ps/162663
Chen CC, Lin CC, Hsieh HP, et al. In vivo three-dimensional mandibular kinematics and functional point trajectories during temporomandibular activities using 3D fluoroscopy. Dentomaxillofacial Radiology. 2021;50(2): 20190464. doi: 10.1259/dmfr.20190464
Merema BB, Witjes MJ, Van Bakelen NB, et al. Four-dimensional determination of the patient-specific centre of rotation for total temporomandibular joint replacements: Following the Groningen principle. Journal of Personalized Medicine. 2022;12(9): 1439. doi: 10.3390/jpm12091439
Aslanidou K, Kau CH, Vlachos C, et al. The fabrication of a customized occlusal splint based on the merging of dynamic jaw tracking records, cone beam computed tomography, and CAD-CAM digital impression. Journal of Orthodontic Science. 2017;6(3): 104–109. doi: 10.4103/jos.JOS_38_17
Bapelle M, Dubromez J, Savoldelli C, et al. Modjaw® device: Analysis of mandibular kinematics recorded for a group of asymptomatic subjects. Cranio®. 2021;39(6): 503–510. doi: 10.1080/08869634.2020.1794771
Van Dooren E, Calamita M, Calgaro M, et al. Mechanical, biological and clinical aspects of zirconia implants. European Journal of Esthetic Dentistry. 2012;7(4): 396–417.
Cervino G, Fiorillo L, Arzukanyan AV, et al. Dental restorative digital workflow: Digital smile design from aesthetic to function. Dentistry Journal. 2019;7(2): 30. doi: 10.3390/dj7020030
Sarver DM, Ackerman MB. Dynamic smile visualization and quantification: Part 1. Evolution of the concept and dynamic records for smile capture. American Journal of Orthodontics and Dentofacial Orthopedics. 2003;124(1):4–12. doi:10.1016/S0889-5406(03)00306-5
Drummond S, Capelli J Jr. Incisor display during speech and smile: Age and gender correlations. The Angle Orthodontist. 2016;86(4):631–637. doi: 10.2319/051315-329.1
Schabel BJ, Baccetti T, Franchi L, et al. Clinical photography vs digital video clips for the assessment of smile esthetics. The Angle Orthodontist. 2010;80(4): 678–684. doi: 10.2319/082109-475.1
Ackerman J, Ackerman M, Brensinger C, et al. A morphometric analysis of the posed smile. Clinical Orthodontics and Research. 1998;1(1): 2–11.
Rubin LR. The anatomy of a smile: Its importance in the treatment of facial paralysis. Plastic and Reconstructive Surgery. 1974;53(4): 384–387.
Mahn E, Sampaio CS, da Silva BP, et al. Comparing the use of static versus dynamic images to evaluate a smile. The Journal of Prosthetic Dentistry. 2020;123(5):739–746. doi: 10.1016/j.prosdent.2019.05.021
Rao A, Badavannavar A, Acharya A. An orthodontic analysis of the smile dynamics with videography. Journal of Oral Biology and Craniofacial Research. 2021;11(2): 174–179. doi: 10.1016/j.jobcr.2021.01.004
Husain A, Makhija PG, Ummer AA, et al. Three-camera setup to record simultaneously standardized high-definition video for smile analysis. American Journal of Orthodontics and Dentofacial Orthopedics. 2017;152(5): 711–716. doi: 10.1016/j.ajodo.2017.05.024
Mohammed H, Kumar R Jr, Bennani H, et al. Automated detection of smiles as discrete episodes. Journal of Oral Rehabilitation. 2022;49(12): 1173–1180. doi: 10.1111/joor.13360
Referanslar
Alsaleh A. The impact of technological advancement on culture and society. Scientific Reports. 2024;14(1): 32140. doi: 10.1038/s41598-024-83995-z
Krauss A. New scientific fields are triggered by powerful new methods. Humanities and Social Sciences Communications. 2025;12(1): 1590. doi: 10.1057/s41599-025-05797-6
Turing AM. Computing machinery and intelligence. Mind. 1950;59(236): 433–460.
Blum IR. Primary care dentistry: Past, present and future. Journal of Dentistry. 2024;145: 105007. doi: 10.1016/j.jdent.2024.105007
Adel S, Zaher A, El Harouni N, Venugopal A, Premjani P, Vaid N. Robotic applications in orthodontics: Changing the face of contemporary clinical care. Biomed Research International. 2021;2021: 9954615. doi: 10.1155/2021/9954615
Lin YM. Digitalisation in dentistry: Development and practices. In: Kim YC, Chen PC (eds.). The Digitization of Business in China. Palgrave Macmillan Asian Business Series. Cham: Palgrave Macmillan; 2018. p. 199–217. doi: 10.1007/978-3-319-79048-0_8
Haidar ZS. Digital dentistry: Past, present, and future. Digital Medicine and Healthcare Technology. 2023;2: 1-16. doi: 10.5772/dmht.17
Bhatia AP, Tiwari S. Artificial intelligence: An advancing front of dentistry. Acta Scientific Dental Sciences. 2019;3: 135–138. doi: 10.31080/ASDS.2019.03.0714
Thurzo A, Urbanová W, Novák B, et al. Where is artificial intelligence applied in dentistry? Systematic review and literature analysis. Healthcare (Basel). 2022;10(7): 1269. doi: 10.3390/healthcare10071269
Miranda F, Barone S, Gillot M, et al. Artificial intelligence applications in orthodontics. Journal of the California Dental Association. 2023;51(1): 2195585. doi: 10.1080/19424396.2023.2195585
Subramanian AK, Chen Y, Almalki A, et al. Cephalometric analysis in orthodontics using artificial intelligence: A comprehensive review. Biomed Research International. 2022;2022: 1880113. doi: 10.1155/2022/1880113
Kim H, Shim E, Park J, et al. Web-based fully automated cephalometric analysis by deep learning. Computer Methods and Programs in Biomedicine. 2020;194: 105513. doi: 10.1016/j.cmpb.2020.105513
Lee JH, Yu HJ, Kim MJ, et al. Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks. BMC Oral Health. 2020;20(1): 270. doi: 10.1186/s12903-020-01256-7
de Queiroz Tavares Borges Mesquita G, Vieira WA, Vidigal MTC, et al. Artificial intelligence for detecting cephalometric landmarks: A systematic review and meta-analysis. Journal of Digital Imaging. 2023;36(3): 1158–1179. doi:10.1007/s10278-022-00766-w
Christopoulou I, Kaklamanos EG, Makrygiannakis MA, et al. Intraoral scanners in orthodontics: A critical review. International Journal of Environmental Research and Public Health. 2022;19(3): 1407. doi: 10.3390/ijerph19031407
Kong L, Li Y, Liu Z. Digital versus conventional full-arch impressions in linear and 3D accuracy: A systematic review and meta-analysis of in vivo studies. Clinical Oral Investigations. 2022;26(9): 5625–5642. doi: 10.1007/s00784-022-04607-6
Lee KC, Park SJ. Digital intraoral scanners and alginate impressions in reproducing full dental arches: A comparative 3D assessment. Applied Sciences. 2020;10(21): 7637. doi:10.3390/app10217637
Bock NC, Klaus K, Liebel MM, et al. What to prefer in patients with multibracket appliances? Digital vs. conventional full-arch impressions—A reference aid-based in vivo study. Journal of Clinical Medicine. 2023;12(9): 3071. doi: 10.3390/jcm12093071
Ryu J, Lee YS, Mo SP, et al. Application of deep learning artificial intelligence technique to the classification of clinical orthodontic photos. BMC Oral Health. 2022;22(1): 454. doi: 10.1186/s12903-022-02465-0
Polizzi A, Quinzi V, Ronsivalle V, et al. Tooth automatic segmentation from CBCT images: A systematic review. Clinical Oral Investigations. 2023;27(7): 3363–3378. doi: 10.1007/s00784-023-04945-4
Murugesan A, Sivakumar A. Comparison of accuracy of mesiodistal tooth measurements made in conventional study models and digital models obtained from intraoral scan and desktop scan of study models. Journal of Orthodontics. 2020;47(2): 149–155. doi: 10.1177/1465312520902484
Kustrzycka D, Marschang T, Mikulewicz M, et al. Comparison of the accuracy of 3D images obtained from different types of scanners: A systematic review. Journal of Healthcare Engineering. 2020;2020: 8854204. doi: 10.1155/2020/8854204
Jaber ST, Hajeer MY, Sultan K. Treatment effectiveness of clear aligners in correcting complicated and severe malocclusion cases compared to fixed orthodontic appliances: A systematic review. Cureus. 2023;15(4). doi: 10.7759/cureus.38311
El Mouden L, Zahour A. Effectiveness and efficiency of orthodontic treatment using fixed appliances versus aligners: A systematic review. 2025. doi: 10.5772/intechopen.113731
AlMogbel A. Clear aligner therapy: Up-to-date review article. Journal of Orthodontic Science. 2023;12: 37. doi:10.4103/jos.jos_30_23
Elabed I, Zheng Z, Zhang Y, Chung CH, Li C. The Mechanical and Clinical Properties of Customized Orthodontic Bracket Systems—A Comprehensive Review. J Funct Biomater. 2024;15(10): 299. doi: 10.3390/jfb15100299.
Gracco A, Tracey S. The Insignia System of Customized Orthodontics. J Clin Orthod. 2011;45(8): 442-468.
Hegele J, Seitz L, Claussen C, Baumert U, Sabbagh H, Wichelhaus A. Clinical effects with customized brackets and CAD/CAM technology: a prospective controlled study. Prog Orthod. 2021;22(1): 40. doi:10.1186/s40510-021-00386-0
Philip S, Kajal, Goyal V, Singh G, Kannan S, Singh RK, et al. Robotic Applications in Orthodontics: Overview of Existing Research. SVOA Dentistry. 2023;4(6): 273-275.
Sucu K, Özer M. Evaluation of Bracket Positioning; A Customized System Versus the Conventional Method. Turk J Orthod. 2025;38(4): 206-215. doi:10.4274/TurkJOrthod.2025.2025.44
Park JH, Kim JH, Rogowski L, et al. Implementation of teledentistry for orthodontic practices. Journal of the World Federation of Orthodontists. 2021;10(1): 9-13. doi: 10.1016/j.ejwf.2020.11.002
Al-Moghrabi D, Pandis N, McLaughlin K, et al. Evaluation of the effectiveness of a tailored mobile application in increasing the duration of wear of thermoplastic retainers: A randomized controlled trial. European Journal of Orthodontics. 2020;42(5): 571-579. doi: 10.1093/ejo/cjz078
Woodford SC, Robinson DL, Mehl A, et al. Measurement of normal and pathological mandibular and temporomandibular joint kinematics: A systematic review. Journal of Biomechanics. 2020;111: 109994. doi: 10.1016/j.jbiomech.2020.109994
Soboļeva U, Lauriņa L, Slaidiņa A. Jaw tracking devices—Historical review of methods development. Part II. Stomatologija. 2005;7(3): 72–76.
Landes CA, Sterz M. Evaluation of condylar translation by sonography versus axiography in orthognathic surgery patients. Journal of Oral and Maxillofacial Surgery. 2003;61(12): 1410-1417. doi: 10.1016/S0278-2391(03)00755-4
Ratzmann A, Mundt T, Schwahn C, et al. Comparative clinical investigation of horizontal condylar inclination using the JMA electronic recording system and a protrusive wax record for setting articulators. International Journal of Computerized Dentistry. 2007;10(3): 265–284.
Ewers R, Schicho K, Undt G, et al. Basic research and 12 years of clinical experience in computer-assisted navigation technology: A review. International Journal of Oral and Maxillofacial Surgery. 2005;34(1): 1–8. doi: 10.1016/j.ijom.2004.06.006
Ettlin DA, Mang H, Colombo V, et al. Stereometric assessment of TMJ space variation by occlusal splints. Journal of Dental Research. 2008;87(9): 877–881. doi: 10.1177/154405910808700909
Vilanova LSR, Gonçalves TMSV, Pimentel MJ, et al. Mastication movements and sleep quality of patients with myofascial pain: Occlusal device therapy improvements. The Journal of Prosthetic Dentistry. 2014;112(6): 1330–1336. doi: 10.1016/j.prosdent.2014.03.015
Revilla-León M, Kois DE, Zeitler JM, et al. An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices. Journal of Esthetic and Restorative Dentistry. 2023;35(5): 735–744. doi: 10.1111/jerd.13011
Luce CE. The movements of the lower jaw. The Boston Medical and Surgical Journal. 1889;121(1): 8-11.
Fuentes R, Navarro P, Curiqueo A, et al. Determination of mandibular border and functional movement protocols using an electromagnetic articulograph (EMA). International Journal of Clinical and Experimental Medicine. 2015;8(11): 19905–19916.
Soboļeva U, Lauriņa L, Slaidiņa A. Jaw tracking devices-Historical review of methods development. Part I. Stomatologija. 2005;7(3): 67-71.
Jász B, Balogh T, Ambrus S, et al. Pure rotation in the temporomandibular joint during jaw opening? A digital motion analysis. BDJ Open. 2024;10(1): 32. doi: 10.1038/s41405-024-00182-0
Park C. Application of ARCUS digma I, II systems for full mouth reconstruction: a case report. Journal of Dental Rehabilitation and Applied Science. 2016;32(4): 345-350. doi: 10.14368/jdras.2016.32.4.345
Kijak E, Lietz-Kijak D, Frączak B, et al. Assessment of the TMJ dysfunction using the computerized facebow analysis of selected parameters. Biomed Research International. 2015;2015: 508069. doi: 10.1155/2015/508069
Hugger A, Boloni E, Berntien U, et al. (eds.). Accuracy of an ultrasonic measurement system for jaw movement recording. Journal of Dental Research. 2001;80(4): 1226.
Mazzetto MO, Anacleto MA, Rodrigues CA, et al. Comparison of mandibular movements in TMD by means of a 3D ultrasonic system and digital caliper rule. Cranio®. 2017;35(1): 46-51. doi: 10.1080/08869634.2016.1145221
Revilla-León M, Zeitler JM, Fry E, Kois JC. Digital workflow to measure the mandibular range of motion using different jaw tracking technologies. The Journal of Prosthetic Dentistry. 2025;134(4): 1208-1215. doi: 10.1016/j.prosdent.2024.01.012
Jucevičius M. Development and investigation of a method for direct and continuous jaw motion monitoring. Kaunas: Kauno technologijos universitetas; Doctoral thesis. 2023.
Chen C, Lin C, Chen Y, et al. A method for measuring three-dimensional mandibular kinematics in vivo using single-plane fluoroscopy. Dentomaxillofacial Radiology. 2013;42(1): 20120084. doi: 10.1259/dmfr.20120084
Jakubowska S, Szerszeń MP, Kostrzewa-Janicka J. Jaw motion tracking systems—Literature review. Protetyka Stomatologiczna. 2023;73(1):18-28. doi: 10.5114/ps/162663
Chen CC, Lin CC, Hsieh HP, et al. In vivo three-dimensional mandibular kinematics and functional point trajectories during temporomandibular activities using 3D fluoroscopy. Dentomaxillofacial Radiology. 2021;50(2): 20190464. doi: 10.1259/dmfr.20190464
Merema BB, Witjes MJ, Van Bakelen NB, et al. Four-dimensional determination of the patient-specific centre of rotation for total temporomandibular joint replacements: Following the Groningen principle. Journal of Personalized Medicine. 2022;12(9): 1439. doi: 10.3390/jpm12091439
Aslanidou K, Kau CH, Vlachos C, et al. The fabrication of a customized occlusal splint based on the merging of dynamic jaw tracking records, cone beam computed tomography, and CAD-CAM digital impression. Journal of Orthodontic Science. 2017;6(3): 104–109. doi: 10.4103/jos.JOS_38_17
Bapelle M, Dubromez J, Savoldelli C, et al. Modjaw® device: Analysis of mandibular kinematics recorded for a group of asymptomatic subjects. Cranio®. 2021;39(6): 503–510. doi: 10.1080/08869634.2020.1794771
Van Dooren E, Calamita M, Calgaro M, et al. Mechanical, biological and clinical aspects of zirconia implants. European Journal of Esthetic Dentistry. 2012;7(4): 396–417.
Cervino G, Fiorillo L, Arzukanyan AV, et al. Dental restorative digital workflow: Digital smile design from aesthetic to function. Dentistry Journal. 2019;7(2): 30. doi: 10.3390/dj7020030
Sarver DM, Ackerman MB. Dynamic smile visualization and quantification: Part 1. Evolution of the concept and dynamic records for smile capture. American Journal of Orthodontics and Dentofacial Orthopedics. 2003;124(1):4–12. doi:10.1016/S0889-5406(03)00306-5
Drummond S, Capelli J Jr. Incisor display during speech and smile: Age and gender correlations. The Angle Orthodontist. 2016;86(4):631–637. doi: 10.2319/051315-329.1
Schabel BJ, Baccetti T, Franchi L, et al. Clinical photography vs digital video clips for the assessment of smile esthetics. The Angle Orthodontist. 2010;80(4): 678–684. doi: 10.2319/082109-475.1
Ackerman J, Ackerman M, Brensinger C, et al. A morphometric analysis of the posed smile. Clinical Orthodontics and Research. 1998;1(1): 2–11.
Rubin LR. The anatomy of a smile: Its importance in the treatment of facial paralysis. Plastic and Reconstructive Surgery. 1974;53(4): 384–387.
Mahn E, Sampaio CS, da Silva BP, et al. Comparing the use of static versus dynamic images to evaluate a smile. The Journal of Prosthetic Dentistry. 2020;123(5):739–746. doi: 10.1016/j.prosdent.2019.05.021
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