Author(s):
Yessy Andriani Fauziah, Ida Bagus Narmada, Eveline Yulia Darmadi, Anneke Paramita Adityatama, Dian Agustin Wahjuningrum, Ahmad Yudianto, Arofi Kurniawan
Email(s):
yessy.andriani@ciputra.ac.id
DOI:
10.52711/0974-360X.2025.00468 
Address:
Yessy Andriani Fauziah1,3, Ida Bagus Narmada2, Eveline Yulia Darmadi3, Anneke Paramita Adityatama3, Dian Agustin Wahjuningrum4, Ahmad Yudianto5, Arofi Kurniawan6
1Doctoral Program in Dental Science, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Jawa Timur 60132, Indonesia.
2Department of Orthodontic, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Jawa Timur 60132, Indonesia.
3School of Dental Medicine, Universitas Ciputra, Surabaya, Jawa Timur 60219, Indonesia.
4Department of Conservative Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Jawa Timur, 60132, Indonesia.
5Department of Forensic and Medicolegal, Faculty of Medicine, Universitas Airlangga, Surabaya, Jawa Timur 60132, Indonesia.
6Department of Odontology Forensic, Faculty of Dental, Universitas Airlangga, Surabaya, Jawa Timur 60132, Indonesia.
*Corresponding Author
Published In:
Volume - 18,
Issue - 7,
Year - 2025
ABSTRACT:
Forensic dentistry has experienced considerable modification owing to new technologies, modifying identification, and analytical procedures. This literature review examines how modern technology advancements, such as artificial intelligence, three-dimensional imaging technologies, and digital forensic methodologies, substantially improve the precision, efficacy, and complexity of forensic dentistry. AI algorithms are instrumental in the automated analysis of dental records, the identification of bite marks, and the estimation of age, effectively minimizing human error and expediting the identification process. The utilization of three-dimensional imaging technology improves the detailed visualization and reconstruction of dental anatomy, facilitating more accurate comparisons and analysis. Digital forensic approaches, encompassing electronic medical records and databases, have significantly enhanced the organization and retrieval of dental information, which is essential for cross-referencing in criminal investigations and identifying disaster victims (DVI). Even with its many positive aspects, the incorporation of these technologies has ethics and practical issues, including worries about data security, the demand for consistent protocols, and the necessity for forensic dentists to learn new technical abilities. This review highlights the transformational impact of new technology on forensic odontology while addressing essential ethical considerations for their adoption. The examination shows the value of ongoing enhancements and collaboration between departments to augment the efficacy of forensic investigations.
Cite this article:
Yessy Andriani Fauziah, Ida Bagus Narmada, Eveline Yulia Darmadi, Anneke Paramita Adityatama, Dian Agustin Wahjuningrum, Ahmad Yudianto, Arofi Kurniawan. Integration of Advanced Technology in Forensic Odontology: Revolutionizing Identification and Forensic Analysis. Research Journal of Pharmacy and Technology. 2025;18(7):3250-7. doi: 10.52711/0974-360X.2025.00468
Cite(Electronic):
Yessy Andriani Fauziah, Ida Bagus Narmada, Eveline Yulia Darmadi, Anneke Paramita Adityatama, Dian Agustin Wahjuningrum, Ahmad Yudianto, Arofi Kurniawan. Integration of Advanced Technology in Forensic Odontology: Revolutionizing Identification and Forensic Analysis. Research Journal of Pharmacy and Technology. 2025;18(7):3250-7. doi: 10.52711/0974-360X.2025.00468 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2025-18-7-48
REFERENCES:
1. Goyal N, Ashwarya T, Singla N, Gupta S, Goyal M, Beantkaursidhu. Role of imaging in forensic odontology. Journal of Pearldent. 2014; 5(4).
2. Matsuda, S., Yoshida, H., Ebata, K., Shimada, I. and Yoshimura, H. Forensic odontology with digital technologies: A systematic review. Journal of Forensic and Legal Medicine. 2020; 74: 102004. DOI: 10.1016/j.jflm.2020.102004.
3. Divya, V.C. & Backiyalakshmi, A. Artificial intelligence in forensic odontology: A review. IP International Journal of Maxillofacial Imaging. 2024; 10(1): 6–10.
4. Choudhari, S. and Uma Maheswari, T.N. 'Palatal rugae patterns in forensic identification', Research Journal of Pharmacy and Technology. 2020; 13(2): 575–577. DOI: 10.5958/0974-360X.2020.00110.4.
5. Smitha. Artificial Intelligence in Forensic Odontology. Journal of Forensic Dental Sciences. 2023; 13(1): 1–2. DOI: 10.4103/jfo.jfds_1_23.
6. Bendre S, Shinde K, Kale N, Gilda S. Artificial Intelligence in Food Industry: A Current Panorama. Asian Journal of Pharmacy and Technology. 2022;
7. Rahul Shah D, Nikesh Shah S, Shah S. A Survey on Applications of Machine Learning Algorithms in Health care. In: Lecture Notes in Networks and Systems. 2023.
8. Reddy BNK, Manyam R, Supriya AN. Importance of Dental Radiography in Forensic Odontology: A Review. Oral and Maxillofacial Pathology Journal. 2022;13(2).
9. Murray J, Heng D, Lygate A, Porto L, Abade A, Manica S, et al. Applying artificial intelligence to determination of legal age of majority from radiographic data. Morphologie. 2024 Mar 1;108(360):100723.
10. Faqir RSA. Digital Criminal Investigations in the Era of Artificial Intelligence: A Comprehensive Overview. International Journal of Cyber Criminology. 2023;17(2).
11. Park SW. Technical Methodology for Identification of Criminals. Res J Pharm Technol. 2019; 12(7).
12. Murray J, Heng D, Lygate A, Porto L, Abade A, Manica S, et al. Applying artificial intelligence to determination of legal age of majority from radiographic data. Morphologie. 2024 Mar 1; 108(360): 100723.
13. Sarment DP, Christensen AM. The use of cone beam computed tomography in forensic radiology. Journal of Forensic Radiology and Imaging. 2014; 2,
14. Izham A, Auerkari EI. The use of radiology CBCT in odontology forensic. In: AIP Conference Proceedings. American Institute of Physics Inc. 2021.
15. Middleton A, Alminyah A, Apostol MA, Boel LWT, Brough A, Develter W, et al. Forensic odontology radiography and imaging in disaster victim identification. Journal of Forensic Radiology and Imaging. 2016
16. Viner MD, Robson J. Post-Mortem Forensic Dental Radiography - a review of current techniques and future developments. Journal of Forensic Radiology and Imaging. 2017 Mar 1; 8: 22–37.
17. Pauwels R. A brief introduction to concepts and applications of artificial intelligence in dental imaging. Oral Radiol. 2021; 37(1).
18. Butler JM. Fundamentals of Forensic DNA Typing. 2009.
19. Butler JM. U.S. initiatives to strengthen forensic science & international standards in forensic DNA. Forensic Sci Int Genet. 2015;18.
20. Vallone PM, Hill CR, Butler JM. Demonstration of rapid multiplex PCR amplification involving 16 genetic loci. Forensic Sci Int Genet. 2008; 3(1).
21. Glocke I, Meyer M. Extending the spectrum of DNA sequences retrieved from ancient bones and teeth. Genome Res. 2017; 27(7).
22. Srivastava A, Harshey A, Das T, Kumar A, Yadav MM, Shrivastava P. Impact of DNA evidence in criminal justice system: Indian legislative perspectives. Egyptian Journal of Forensic Sciences. 2022; 12,
23. Butler JM. Advanced Topics in Forensic DNA Typing: Interpretation. Advanced Topics in Forensic DNA Typing: Interpretation. 2014.
24. Kayser M, Branicki W, Parson W, Phillips C. Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age. Forensic Sci Int Genet. 2023; 65.
25. Rosalina V., Herli D., Informasi FT., Raya US., Informasi FT., Raya US., et al. Pengembangan Model Tahapan Digital Forensic Untuk Mendukung. 2015; 0-5.
26. Ramesh G. CAD/CAM: A New Revolution in Forensics. Forensic Research & Criminology International Journal. 2018; 6(1): 40-2. doi.org/10.15406/frcij.2018.06.00203
27. Vodanović M., Subašić M., Milošević D., Galić I., Brkić H. Artificial intelligence in forensic medicine and forensic dentistry. Journal of Forensic Odonto-Stomatology. 2023; 41(2).
28. Christoloukas N., Mitsea A., Rontogianni A., Papadakis E., Angelopoulos C. Evaluation of Bitemark Analysis’s Potential Application in Forensic Identification: A Systematic Review. Diagnostics. 2024; 14(2). doi.org/10.3390/diagnostics14020062.
29. Nagi R., Aravinda K., Rakesh N., Jain S., Kaur N., Mann A. Digitization in forensic odontology: A paradigm shift in forensic investigations. J Forensic Dent Sci. 2019; 11(1):5
30. Mehmood R., Saracevic M., Ochoa Zezzatti A., Yusmiaidil Putera Mohd Yusof M., Mohammad N., Ahmad R., et al. Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review. 2022.
31. Hachem M., Mohamed A., Othayammadath A., Gaikwad J., Hassanline T. Emerging applications of dentistry in medico-legal practice-forensic odontology. International Journal on Emerging Technologies. 2020; 11(2).
32. Swarnaa C., Priya S., Deepak U., Saurabh S. Artificial Intelligence (AI): An Armamentarium of Forensic Odontologist to Discern Child Abuse. East African Scholars Journal of Medical Sciences. 2023; 6(8).
33. Jadhav E, Singh Sankhla M, Kumar R. Artificial Intelligence: Advancing Automation in Forensic Science & Criminal Investigation. Seybold Report. 2020;15(August).
34. Mohammad N., Ahmad R., Kurniawan A., Mohd Yusof M.Y.P. Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review. Frontiers in Artificial Intelligence. 2022; 5.
35. Moran MBH, Faria MDB, Bastos LF, Giraldi GA, Conci A. Combining Image Processing and Artificial Intelligence for Dental Image Analysis: Trends, Challenges, and Applications. In: EAI/Springer Innovations in Communication and Computing. 2022.
36. Khanagar S.B., Vishwanathaiah S., Naik S., Al-Kheraif A., Devang Divakar D., Sarode S.C., et al. Application and performance of artificial intelligence technology in forensic odontology – A systematic review. Legal Medicine. 2021; 48. doi.org/10.1016/j.legalmed.2021.101870.
37. Piraianu A.I., Fulga A., Musat C.L., Ciobotaru O.R., Poalelungi D.G., Stamate E., et al. Enhancing the Evidence with Algorithms: How Artificial Intelligence Is Transforming Forensic Medicine. Diagnostics. 2023; 13(2). doi.org/10.3390/diagnostics13020082.
38. Bui R., Iozzino R., Richert R., Roy P., Boussel L., Tafrount C., et al. Artificial Intelligence as a Decision-Making Tool in Forensic Dentistry: A Pilot Study with I3M. Int J Environ Res Public Health. 2023; 20(5). doi.org/10.3390/ijerph20054162
39. Galante N., Cotroneo R., Furci D., Lodetti G., Casali M.B. Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives. International Journal of Legal Medicine. 2023; 137. doi.org/10.1007/s00414-023-02927-x
40. Dobrzański L.A., Dobrzański L.B., Dobrzańska-Danikiewicz A.D., Dobrzańska J., Kraszewska M. Ethical imperatives towards the development prospects of the triad of Dentistry 4.0, dental engineering, and nanoengineering. In: Ethics in Nanotechnology: Social Sciences and Philosophical Aspects: Volume II. 2021
41. Favaretto M., Shaw D., De Clercq E., Joda T., Elger B.S. Big data and digitalization in dentistry: A systematic review of the ethical issues. International Journal of Environmental Research and Public Health. 2020; 17(8). doi.org/10.3390/ijerph17082947
42. Iorgulescu G, Cristache CM, Burcea CC, Ionescu I, Perieanu VS, Marcov N, et al. Ethical and medico-legal aspects behind the use of digital technologies in dentistry. Romanian Journal of Legal Medicine. 2020; 28(2): 202–7.
43. Ma X.F., Jin M., Sun H., Mi C.B. Application Status and Prospect of Bite Mark Evidence in Forensic Odontology. Journal of Forensic Medicine. 2020; 36.