A DIGITAL TRANSFORMATION OF FORENSIC IDENTIFICATION USING INTRAORAL SCANNERS, CAD/CAM, AND AI

Penulis

  • Berlian Shinta Faradiansyah Universitas Muhammadiyah Semarang https://orcid.org/0009-0001-9728-9677
  • Rizqika Sufi Aini Universitas Muhammadiyah Semarang
  • Gelar S. Ramdhani Universitas Muhammadiyah Semarang https://orcid.org/0009-0005-9570-4768
  • Vina Widya Putri Universitas Muhammadiyah Semarang
  • Hidan Muhammad Syakirin Universitas Muhammadiyah Semarang
  • Ika Rachmawati Universitas Muhammadiyah Semarang
  • Ahmad Fauzi the Indonesian National Police, Jakarta, Indonesia

Abstrak

Pendahuluan:Perkembangan teknologi kedokteran gigi digital telah membuka peluang baru dalam pembuatan rekam dental ante-mortem (AM) sebagai alternatif terhadap metode cetakan konvensional dalam identifikasi forensik. Meskipun demikian, tingkat akurasi serta potensi aplikasinya dalam konteks forensik masih memerlukan evaluasi yang sistematis. Tujuan:Tinjauan sistematis ini bertujuan untuk mengevaluasi penelitian asli mengenai penggunaan intraoral scanner, sistem CAD/CAM, serta teknologi berbasis kecerdasan buatan (Artificial Intelligence/AI) dalam pembuatan rekam dental ante-mortem (AM) serta potensi pemanfaatannya dalam identifikasi forensik, dengan fokus pada akurasi dimensi, reproduktibilitas, keunggulan, dan keterbatasan teknologi tersebut. Metode:Penelusuran literatur dilakukan melalui dua basis data ilmiah utama, yaitu Google Scholar dan PubMed, untuk mengidentifikasi penelitian yang relevan mengenai rekam dental digital dalam konteks forensik. Strategi pencarian disusun menggunakan kombinasi kata kunci terstruktur yang berkaitan dengan kedokteran gigi forensik, rekam dental digital, intraoral scanner, sistem CAD/CAM, serta kecerdasan buatan. Kriteria inklusi dan eksklusi ditetapkan menggunakan kerangka SPIDER, yang meliputi Sample (S), Phenomenon of Interest (PI), Design (D), Evaluation (E), dan Research Type (R), guna memastikan bahwa studi yang dipilih relevan dengan tujuan tinjauan serta menjawab pertanyaan penelitian. Kesimpulan:Hasil kajian menunjukkan bahwa teknologi kedokteran gigi digital mampu menghasilkan akurasi morfometrik yang tinggi, dengan deviasi tiga dimensi yang masih berada dalam batas yang dapat diterima secara klinis. Analisis berbasis STL, pemetaan deviasi permukaan, serta teknik superimposisi tiga dimensi menyediakan pendekatan analisis yang objektif dan menunjukkan potensi yang signifikan dalam aplikasi identifikasi forensik. Namun demikian, validasi langsung dalam kondisi simulasi forensik masih terbatas, sehingga diperlukan penelitian lebih lanjut sebelum teknologi ini dapat diimplementasikan secara luas dalam praktik forensik.

Biografi Penulis

Berlian Shinta Faradiansyah, Universitas Muhammadiyah Semarang

Faculty of Dentistry

Rizqika Sufi Aini, Universitas Muhammadiyah Semarang

Faculty of Dentistry

Gelar S. Ramdhani, Universitas Muhammadiyah Semarang

Department of Dentomaxillofacial Radiology and Forensic Odontology, Faculty of Dentistry

Vina Widya Putri, Universitas Muhammadiyah Semarang

Faculty of Dentistry

Hidan Muhammad Syakirin, Universitas Muhammadiyah Semarang

Faculty of Dentistry

Ika Rachmawati, Universitas Muhammadiyah Semarang

Department of Dentomaxillofacial Radiology and Forensic Odontology, Faculty of Dentistry

Ahmad Fauzi, the Indonesian National Police, Jakarta, Indonesia

Police Medical and Health Center (Pusdokkes),

Referensi

Malik SD, Pillai JP, Malik U. Forensic genetics : Scope and application from forensic odontology perspective. Published online 2022:558-563. doi:10.4103/jomfp.jomfp

Jayakrishnan JM, Reddy J, Vinod Kumar RB. Role of forensic odontology and anthropology in the identification of human remains. J Oral Maxillofac Pathol. 2021;25(3):543-547. doi:10.4103/jomfp.jomfp_81_21

Roshin CN, Prabhu S, Bastian TS, Selvamani M, Suhana HS, Thejus KA. Forensic DNA analysis of heat ‑ exposed unrestored teeth : Temperature and duration effects. Published online 2025. doi:10.4103/jomfp.jomfp

Yu W, Lam H, Ling Z, et al. Digital Dentistry in Clinical Practice : A Scoping Review of Current Capabilities and Future Directions. Int Dent J. 2025;76(1):109296. doi:10.1016/j.identj.2025.109296

Radu CC, Hogea T, Carașca C, Radu C-M. Forensic Odontology in the Digital Era: A Narrative Review of Current Methods and Emerging Trends. Diagnostics (Basel, Switzerland). 2025;15(20). doi:10.3390/diagnostics15202550

Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi:10.1136/bmj.n71

Kolaski K, Logan LR, Ioannidis JPA. Guidance to best tools and practices for systematic reviews. JBI Evid Synth. 2023;21(9):1699-1731. doi:10.11124/JBIES-23-00139

Aromataris E, Munn Z, Porritt K, Lockwood C, Jordan Z, Peters M. JBI Manual for Evidence Synthesis. Joanna Briggs Institute; 2024. https://synthesismanual.jbi.global.https//doi.org/10.46658/JBIMES-24-01

Sanda M, Miyoshi K, Baba K. Trueness and precision of digital implant impressions by intraoral scanners: a literature review. Int J Implant Dent. 2021;7(1). doi:10.1186/s40729-021-00352-9

Alkadi L. A Comprehensive Review of Factors That Influence the Accuracy of Intraoral Scanners. Diagnostics. 2023;13(21):1-13. doi:10.3390/diagnostics13213291

Sadid-Zadeh R. Clinical Applications of Digital Technology in Fixed Prosthodontics. In: ; 2022:122-153. doi:10.1002/9781119800613.ch6

Mangano F, Gandolfi A, Luongo G, Logozzo S. Intraoral scanners in dentistry: a review of the current literature. BMC Oral Health. 2025;17(1):149. doi:10.1186/s12903-017-0442-x

Ahmed S, Hawsah A, Rustom R, et al. Digital Impressions Versus Conventional Impressions in Prosthodontics: A Systematic Review. Cureus. 2024;16(1):e51537. doi:10.7759/cureus.51537

Pozzi A, Carosi P, Gallucci GO, Nagy K, Nardi A, Arcuri L. Accuracy of complete-arch digital implant impression with intraoral optical scanning and stereophotogrammetry: An in vivo prospective comparative study. Clin Oral Implants Res. 2023;34(10):1106-1117. doi:10.1111/clr.14141

Matsuda S, Yoshida H, Ebata K, Shimada I, Yoshimura H. Forensic odontology with digital technologies: A systematic review. J Forensic Leg Med. 2020;74:102004. doi:https://doi.org/10.1016/j.jflm.2020.102004

Santhosh Kumar S, Chacko R, Kaur A, Ibrahim G, Ye D. A Systematic Review of the Use of Intraoral Scanning for Human Identification Based on Palatal Morphology. Diagnostics. 2024;14(5):1-19. doi:10.3390/diagnostics14050531

Dhimole R, Dhamande MM, Kambala SR, Madhu PP. The digital era in dentistry: A review. Biomed. 2023;43(3):816-820. doi:10.51248/.v43i3.2865

Gintaute A, Zitzmann NU, Brägger U, Weber K, Joda T. Patient-reported outcome measures compared to professional dental assessments of monolithic ZrO(2) implant fixed dental prostheses in complete digital workflows: A double-blind crossover randomized controlled trial. J Prosthodont Off J Am Coll Prosthodont. 2023;32(1):18-25. doi:10.1111/jopr.13589

Derakhshi H, Alihemmati M, Hakimaneh SMR, Bafandeh MA, Jahangiri M, Shayegh SS. Comparing the accuracy of 3D-printed casts versus plaster casts for tooth-supported and implant-supported restorations. Dent Res J (Isfahan). 2025;22:14. doi:10.4103/drj.drj_382_24

Antonio NRS. Development and utilization of new electronic dental record (edr) for dentists. 2025;13(2):36-52.

Ghaffari M, Zhu Y, Shrestha A. A review of advancements of artificial intelligence in dentistry. Dent Rev. 2024;4(2):100081.

doi:https://doi.org/10.1016/j.dentre.2024.100081

Bonny T, Al Nassan W, Obaideen K, Al Mallahi MN, Mohammad Y, El-Damanhoury HM. Contemporary Role and Applications of Artificial Intelligence in Dentistry. F1000Research. 2023;12:1179. doi:10.12688/f1000research.140204.1

Hardan L, Bourgi R, Lukomska-Szymanska M, et al. Effect of scanning strategies on the accuracy of digital intraoral scanners: a meta-analysis of in vitro studies. J Adv Prosthodont. 2023;15(6):315-332. doi:10.4047/jap.2023.15.6.315

Vila-Blanco N, Varas-Quintana P, Tomás I, Carreira MJ. A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches. Int J Legal Med. 2023;137(4):1117-1146. doi:10.1007/s00414-023-02960-z

Arthanari A, Raj SS, Ravindran V. A Narrative Review in Application of Artificial Intelligence in Forensic Science: Enhancing Accuracy in Crime Scene Analysis and Evidence Interpretation. J Int Oral Heal. 2025;17(1):15-22. doi:10.4103/jioh.jioh_162_24

Sinha S, Srivastava T, Rehan AD, Pandey S. AI-Driven Innovations in Forensic Odontology: Challenges and Opportunities. J Pharm Bioallied Sci. 2025;17(Suppl 3):S2038-S2040. doi:10.4103/jpbs.jpbs_986_25

Gawali N, Shah PP, Gowdar IM, Bhavsar KA, Giri D, Laddha R. The Evolution of Digital Dentistry: A Comprehensive Review. J Pharm Bioallied Sci. 2024;16(Suppl 3):S1920-S1922. doi:10.4103/jpbs.jpbs_11_24

Corte-Real A, Ribeiro R, Almiro PA, Nunes T. Digital Orofacial Identification Technologies in Real-World Scenarios. Appl Sci. 2024;14(13). doi:10.3390/app14135892

Mouncif H, Kassimi A, Bertin Gardelle T, Tairi H, Riffi J. 3D tooth identification for forensic dentistry using deep learning. BMC Oral Health. 2025;25(1):665. doi:10.1186/s12903-025-06017-y

Agarwal N, Siddhartha Saxena V, Fatima S, Singh S, Chande M. AI in forensic odontology – A new era review article. J Oral Med Oral Surgery, Oral Pathol Oral Radiol. 2025;11(2):49-53. doi:10.18231/j.jooo.v.11.i.2.1

Palmela Pereira C, Carvalho R, Augusto D, et al. Development of artificial intelligence-based algorithms for the process of human identification through dental evidence. Int J Legal Med. 2025;139(4):1835-1850. doi:10.1007/s00414-025-03453-x

Morrison GS. Advancing a paradigm shift in evaluation of forensic evidence: The rise of forensic data science. Forensic Sci Int Synerg. 2022;5(May):100270.doi:10.1016/j.fsisyn.2022.100270

Chin JM, Growns B, Sebastian J, Page MJ, Nakagawa S. The transparency and reproducibility of systematic reviews in forensic science. Forensic Sci Int. 2022;340:111472. doi:https://doi.org/10.1016/j.forsciint.2022.111472

Yousef H, Harris BT, Elathamna EN, Morton D, Lin W-S. Effect of additive manufacturing process and storage condition on the dimensional accuracy and stability of 3D-printed dental casts. J Prosthet Dent. 2022;128(5):1041-1046. doi:10.1016/j.prosdent.2021.02.028

Thomson BJ, Hu E, Masterson R. Comparing the Accuracy of Conventional Gypsum and 3D-Printed Dental Casts Using Three-Dimensional Analysis. Mil Med. 2025;190(5-6):e1059-e1065. doi:10.1093/milmed/usae479

Vincze ZÉ, Kovács ZI, Vass AF, Borbély J, Márton K. Evaluation of the dimensional stability of 3D-printed dental casts. J Dent. 2024;151(March). doi:10.1016/j.jdent.2024.105431

Wei D, Yi X, Lin Y, Di P. An innovative evaluation method for clinical comparative analysis of occlusal contact regions obtained via intraoral scanning and conventional impression procedures: a clinical trial. Clin Oral Investig. 2024;28(10):543. doi:10.1007/s00784-024-05940-8

Schmalzl J, Róth I, Borbély J, Hermann P, Vecsei B. The impact of software updates on accuracy of intraoral scanners. BMC Oral Health. 2023;23(1):1-8. doi:10.1186/s12903-023-02926-y

Cao R, Zhang S, Li L, Qiu P, Xu H, Cao Y. Accuracy of intraoral scanning versus conventional impressions for partial edentulous patients with maxillary defects. Sci Rep. 2023;13(1):1-9. doi:10.1038/s41598-023-44033-6

Dohiem MM, Abdelaziz MS, Abdalla MF, Fawzy AM. Digital assessment of the accuracy of implant impression techniques in free end saddle partially edentulous patients. A controlled

clinical trial. BMC Oral Health. 2022;22(1):486. doi:10.1186/s12903-022-02505-7

Kahya Karaca S, Akca K. Comparison of conventional and digital impression approaches for edentulous maxilla: clinical study. BMC Oral Health. 2024;24(1):1378. doi:10.1186/s12903-024-05151-3

Krishnakumar K, Kalaskar R. Comparative evaluation of digital and tray impression technique as a method of recording anatomical details of cleft lip and palate in neonates - A randomized controlled clinical trial. J Indian Soc Pedod Prev Dent. 2025;43(2):244-251. doi:10.4103/jisppd.jisppd_533_24

Arora H, Kaplan-Damary N, Stern HS. Combining reproducibility and repeatability studies with applications in forensic science. Law, Probab Risk. 2023;22(1). doi:10.1093/lpr/mgad007

Perkins H, Rohrlach AB, Hughes T, Forrest A, Higgins D. 3D imaging for dental identification: a pilot investigation of a novel segmentation method using an intra oral scanning device. Forensic Sci Med Pathol. 2025;21(3):1213-1221. doi:10.1007/s12024-025-00992-y

Corte-Real A, Ribeiro R, Machado R, Silva AM, Nunes T. Digital intraoral and radiologic records in forensic identification: Match with disruptive technology. Forensic Sci Int. 2024;361:112104. doi:10.1016/j.forsciint.2024.112104

Róth I, Géczi Z, Végh DC, et al. The role of artificial intelligence in intraoral scanning for complete-arch digital impressions: An in vitro study. J Dent. 2025;156(December 2024). doi:10.1016/j.jdent.2025.105717

Elbanna L, Singh S, Kalakota S, et al. Intraoral scanners in dentistry: Principles, workflow, and clinical applications-A comprehensive review. IP Indian J Conserv Endod. 2025;10(3):146-154. doi:10.18231/j.ijce.12422.1897150070

Ismail I, Zainol Ariffin KA. The admissibility of digital evidence from open-source forensic tools: Development of a framework for legal acceptance. PLoS One. 2025;20(9 September):1-26. doi:10.1371/journal.pone.0331683

Diterbitkan

2026-07-31