REFERENCES
1. Zhang ZX, Xie L, Li Z. Global, regional, and national burdens of facial fractures: a systematic analysis of the global burden of Disease 2019. BMC Oral Health. 2024;24:282.
2. Chen H, Jia Z, He X, Feng X, Wu M, Zhang S. Burden and trends of facial fractures in China and the United States based on GBD 2021 analysis. Sci Rep. 2025;15:8328.
3. Adik K, Lamb P, Moran M, Childs D, Francis A, Vinyard CJ. Trends in mandibular fractures in the USA: a 20-year retrospective analysis. Dent Traumatol. 2023;39:425-36.
4. Afrooz PN, Bykowski MR, James IB, Daniali LN, Clavijo-Alvarez JA. The Epidemiology of Mandibular Fractures in the United States, Part 1: A Review of 13,142 Cases from the US National Trauma Data Bank. J Oral Maxillofac Surg. 2015;73:2361-6.
5. Døving M, Næss I, Galteland P, et al. Anatomical distribution of mandibular fractures from severe bicycling accidents: a 12‐year experience from a Norwegian level 1 trauma center. Dent Traumatol. 2022;38:424-30.
6. Uppada UK, Sinha R, Susmitha M, Praseedha B, Kiran BR. Mandibular fracture patterns in a rural setup: a 7-year retrospective study. J Maxillofac Oral Surg. 2022;21:1349-54.
7. Ellis E, Moos KF, el-Attar A. Ten years of mandibular fractures: an analysis of 2,137 cases. Oral Surg Oral Med Oral Pathol. 1985;59:120-9.
8. Buch K, Mottalib A, Nadgir RN, et al. , Unifocal versus multifocal mandibular fractures and injury location. Emerg Radiol. 2016;23:161-7.
9. Weitzman RE, Subramanian T, Zhao K, Shomorony A, Sclafani AP. Trends in management and cost burden of facial fractures: a 14‐year analysis. Laryngoscope. 2024;134:3120-6.
10. Wu Y, Long X, Fang W, et al. Management of paediatric mandibular condylar fractures with screw-based semi-rigid intermaxillary fixation. Int J Oral Maxillofac Surg. 2012;41:55-60.
11. Carlson AR, Shammas RL, Allori AC, Powers DB. A technique for reduction of edentulous fractures using dentures and SMARTLock hybrid fixation system. Plast Reconstr Surg Glob Open. 2017;5:e1473.
12. Sobrero F, Roccia F, Omedè M, et al. Current strategies for treatment of mandibular fractures with plate osteosynthesis: a European prospective study. J Craniofac Surg. 2024;35:1120-4.
13. Seol GJ, Jeon EG, Lee JS, et al. Reconstruction plates used in the surgery for mandibular discontinuity defect. J Korean Assoc Oral Maxillofac Surg. 2014;40:266-71.
14. Christensen BJ, Mercante DE, Neary JP, King BJ. Risk factors for severe complications of operative mandibular fractures. J Oral Maxillofac Surg. 2017;75:787.e1-8.
15. Lamphier J, Ziccardi V, Ruvo A, Janel M. Complications of mandibular fractures in an urban teaching center. J Oral Maxillofac Surg. 2003;61:745-9.
16. Steffen C, Welter M, Fischer H, et al. Revision surgery with refixation after mandibular fractures. Craniomaxillofac Trauma Reconstr. 2024;17:214-24.
17. Barr ML, Haveles CS, Rezzadeh KS, et al. Virtual surgical planning for mandibular reconstruction with the fibula free flap: a systematic review and meta-analysis. Ann Plast Surg. 2020;84:117-22.
18. Stokbro K, Aagaard E, Torkov P, Bell RB, Thygesen T. Virtual planning in orthognathic surgery. Int J Oral Maxillofac Surg. 2014;43:957-65.
19. Hanken H, Schablowsky C, Smeets R, et al. Virtual planning of complex head and neck reconstruction results in satisfactory match between real outcomes and virtual models. Clin Oral Investig. 2015;19:647-56.
20. Ebker T, Korn P, Heiland M, Bumann A. Comprehensive virtual orthognathic planning concept in surgery-first patients. Br J Oral Maxillofac Surg. 2022;60:1092-6.
21. Voss JO, Varjas V, Raguse JD, Thieme N, Richards RG, Kamer L. Computed tomography-based virtual fracture reduction techniques in bimandibular fractures. J Craniomaxillofac Surg. 2016;44:177-85.
22. Troise S, De Fazio GR, Committeri U, et al. Mandibular reconstruction after post-traumatic complex fracture: Comparison analysis between traditional and virtually planned surgery. J Stomatol Oral Maxillofac Surg. 2025;126:102029.
23. Pucci R, Weyh A, Smotherman C, Valentini V, Bunnell A, Fernandes R. Accuracy of virtual planned surgery versus conventional free-hand surgery for reconstruction of the mandible with osteocutaneous free flaps. Int J Oral Maxillofac Surg. 2020;49:1153-61.
24. Singerman KW, Morisada MV, Kriet JD, Flynn JP, Humphrey CD. Virtual surgical planning for management of acute maxillofacial trauma. Craniomaxillofac Trauma Reconstr. 2025;18:18.
25. Shakya S, Li KD, Huang D, Liu ZQ, Zhang X, Liu L. Virtual surgical planning is a useful tool in the surgical management of mandibular condylar fractures. Chin J Traumatol. 2022;25:151-5.
26. Nilsson J, Nysjö F, Nyström I, Kämpe J, Thor A. Evaluation of in-house, haptic assisted surgical planning for virtual reduction of complex mandibular fractures. Int J Comput Assist Radiol Surg. 2021;16:1059-68.
27. Moolenaar JZ, Tümer N, Checa S. Computer-assisted preoperative planning of bone fracture fixation surgery: a state-of-the-art review. Front Bioeng Biotechnol. 2022;10:1037048.
28. Minnema J, Ernst A, van Eijnatten M, et al. A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery. Dentomaxillofac Radiol. 2022;51:20210437.
29. Schvartzman SC, Silva R, Salisbury K, Gaudilliere D, Girod S. Computer-aided trauma simulation system with haptic feedback is easy and fast for oral-maxillofacial surgeons to learn and use. J Oral Maxillofac Surg. 2014;72:1984-93.
30. Jiménez-Delgado JJ, Paulano-Godino F, Pulidoram-Ramírez R, Jiménez-Pérez JR. Computer assisted preoperative planning of bone fracture reduction: simulation techniques and new trends. Med Image Anal. 2016;30:30-45.
31. Casari FA, Roner S, Fürnstahl P, Nagy L, Schweizer A. Computer-assisted open reduction internal fixation of intraarticular radius fractures navigated with patient-specific instrumentation, a prospective case series. Arch Orthop Trauma Surg. 2021;141:1425-32.
32. Zeng B, Wang H, Tao X, Shi H, Joskowicz L, Chen X. A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning. Med Image Anal. 2024;97:103267.
33. Okada T, Iwasaki Y, Koyama T, et al. Computer-assisted preoperative planning for reduction of proximal femoral fracture using 3-D-CT data. IEEE Trans Biomed Eng. 2009;56:749-59.
34. Han R, Uneri A, Vijayan RC, et al. Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration. Med Image Anal. 2021;68:101917.
35. Ead MS, Palizi M, Jaremko JL, Westover L, Duke KK. Development and application of the average pelvic shape in virtual pelvic fracture reconstruction. Int J Med Robot. 2021;17:e2199.
36. Sharaf BA, Morris JM, Kuruoglu D. EPPOCRATIS: a point-of-care utilization of virtual surgical planning and three-dimensional printing for the management of acute craniomaxillofacial trauma. J Clin Med. 2021;10:5640.
37. Besl PJ, McKay ND. A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell. 1992;14:239-56.
38. Pankert T, Lee H, Peters F, Hölzle F, Modabber A, Raith S. Mandible segmentation from CT data for virtual surgical planning using an augmented two-stepped convolutional neural network. Int J Comput Assist Radiol Surg. 2023;18:1479-88.
39. Fortin FA, De Rainville FM, Gardner MA, Parizeau M, Gagné. DEAP: evolutionary algorithms made easy. J Mach Learn Res. 2012;13:2171-5. Available from: https://jmlr.org/papers/v13/fortin12a.html. [Last accessed on 17 Aug 2026].
40. Sullivan C, Kaszynski A. PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK). J Open Source Softw. 2019;4:1450.
41. Kim J, Jeung D, Cho R, Yang B, Hong J. A proof of concept: optimized jawbone-reduction model for mandibular fracture surgery. J Imaging Inform Med. 2024;37:1151-9.
42. Saloniemi M, Salli M, Lehtinen V, Snäll J. Primary surgery of subcondylar mandibular fracture using patient-specific implant: the Helsinki protocol. Oral Maxillofac Surg. 2025;29:46.
43. Einhorn TA, Gerstenfeld LC. Fracture healing: mechanisms and interventions. Nat Rev Rheumatol. 2015;11:45-54.
44. Burgan J, Rahmati M, Lee M, Saiz AM. Innate immune response to bone fracture healing. Bone. 2025;190:117327.
45. Kim SY, Choi YH, Kim YK. Postoperative malocclusion after maxillofacial fracture management: a retrospective case study. Maxillofac Plast Reconstr Surg. 2018;40:27.
46. Wang H, Chi Y, Hu Y, et al. Accuracy analysis of the digital occlusal relationship reconstruction workflow in patients with maxillofacial fractures: an in vitro retrospective cohort study. J Dent. 2025;154:105590.
47. Ding MC, Jing BY, Shi J, et al. A retrospective study of occlusal reconstruction in patients with old jaw fractures and dentition defects. Chin J Traumatol. 2024;27:272-8.
48. Perez D, Ellis E 3rd. Complications of mandibular fracture repair and secondary reconstruction. Semin Plast Surg. 2020;34:225-31.
49. Sobrero F, Roccia F, Vilaplana V, et al. Manual versus rigid intraoperative maxillo‐mandibular fixation in the surgical management of mandibular fractures: a European prospective analysis. Dent Traumatol. 2023;39:448-54.
50. Batbayar EO, Malwand S, Dijkstra PU, Bos RRM, van Minnen B. Accuracy and outcome of mandibular fracture reduction without and with an aid of a repositioning forceps. Oral Maxillofac Surg. 2019;23:201-8.
51. Gruber LJ, Egger J, Bönsch A, et al. Accuracy and precision of mandible segmentation and its clinical implications: virtual reality, desktop screen and artificial intelligence. Expert Syst Appl. 2024;239:122275.
52. Holte MB, Pinholt EM. Validation of a fully automatic three-dimensional assessment of orthognathic surgery. J Craniomaxillofac Surg. 2024;52:438-46.
53. Kim SR, Jang S, Ahn KM, Lee JH. Evaluation of effective condyle positioning assisted by 3D surgical guide in mandibular reconstruction using osteocutaneous free flap. Materials. 2020;13:2333.
54. Mithany RH, Aslam S, Abdallah S, et al. Advancements and challenges in the application of artificial intelligence in surgical arena: a literature review. Cureus. 2023;15;e47924.
55. Adegbesan A, Akingbola A, Aremu O, Adewole O, Amamdikwa JC, Shagaya U. From scalpels to algorithms: the risk of dependence on artificial intelligence in surgery. J Med Surg Public Health. 2024;3:100140.
56. Yazigi C, Chaar MS, Busch R, Kern M. The effect of sterilization on the accuracy and fit of 3D-printed surgical guides. Materials. 2023;16:5305.
