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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review

Mohammad N, Ahmad R, Kurniawan A, Mohd Yusof MYP

Front Artif Intell, 2022;5:1049584.
PMID: 36561660 DOI: 10.3389/frai.2022.1049584

BACKGROUND: Forensic odontology may require a visual or clinical method during identification. Sometimes it may require forensic experts to refer to the existing technique to identify individuals, for example, by using the atlas to estimate the dental age. However, the existing technology can be a complicated procedure for a large-scale incident requiring a more significant number of forensic identifications, particularly during mass disasters. This has driven many experts to perform automation in their current practice to improve efficiency.
OBJECTIVE: This article aims to evaluate current artificial intelligence applications and discuss their performance concerning the algorithm architecture used in forensic odontology.
METHODS: This study summarizes the findings of 28 research papers published between 2010 and June 2022 using the Arksey and O'Malley framework, updated by the Joanna Briggs Institute Framework for Scoping Reviews methodology, highlighting the research trend of artificial intelligence technology in forensic odontology. In addition, a literature search was conducted on Web of Science (WoS), Scopus, Google Scholar, and PubMed, and the results were evaluated based on their content and significance.
RESULTS: The potential application of artificial intelligence technology in forensic odontology can be categorized into four: (1) human bite marks, (2) sex determination, (3) age estimation, and (4) dental comparison. This powerful tool can solve humanity's problems by giving an adequate number of datasets, the appropriate implementation of algorithm architecture, and the proper assignment of hyperparameters that enable the model to perform the prediction at a very high level of performance.
CONCLUSION: The reviewed articles demonstrate that machine learning techniques are reliable for studies involving continuous features such as morphometric parameters. However, machine learning models do not strictly require large training datasets to produce promising results. In contrast, deep learning enables the processing of unstructured data, such as medical images, which require large volumes of data. Occasionally, transfer learning was used to overcome the limitation of data. In the meantime, this method's capacity to automatically learn task-specific feature representations has made it a significant success in forensic odontology.
Fulltext Optimization of forensic identification through 3-dimensional imaging analysis of labial tooth surface using open-source software

Kurniawan A, Alias A, Yusof MYPM, Marya A

Imaging Sci Dent, 2024 Mar;54(1):63-69.
PMID: 38571779 DOI: 10.5624/isd.20230218

PURPOSE: The objective of this study was to determine the minimum number of teeth in the anterior dental arch that would yield accurate results for individual identification in forensic contexts.
MATERIALS AND METHODS: The study involved the analysis of 28 sets of 3-dimensional (3D) point cloud data, focused on the labial surface of the anterior teeth. These datasets were superimposed within each group in both genuine and imposter pairs. Group A incorporated data from the right to the left central incisor, group B from the right to the left lateral incisor, and group C from the right to the left canine. A comprehensive analysis was conducted, including the evaluation of root mean square error (RMSE) values and the distances resulting from the superimposition of dental arch segments. All analyses were conducted using CloudCompare version 2.12.4 (Telecom ParisTech and R&D, Kyiv, Ukraine).
RESULTS: The distances between genuine pairs in groups A, B, and C displayed an average range of 0.153 to 0.184 mm. In contrast, distances for imposter pairs ranged from 0.338 to 0.522 mm. RMSE values for genuine pairs showed an average range of 0.166 to 0.177, whereas those for imposter pairs ranged from 0.424 to 0.638. A statistically significant difference was observed between the distances of genuine and imposter pairs (P<0.05).
CONCLUSION: The exceptional performance observed for the labial surfaces of anterior teeth underscores their potential as a dependable criterion for accurate 3D dental identification. This was achieved by assessing a minimum of 4 teeth.
The significance of amelogenin loci from toothpicks as forensic evidence for sex determination

Kurniawan A, Rizky BN, Chusida A, Prakoeswa BFWR, Athalia SA, Malau STJ, et al.

J Taibah Univ Med Sci, 2023 Feb;18(1):148-153.
PMID: 36398010 DOI: 10.1016/j.jtumed.2022.07.010

Objective: DNA analysis has become the gold standard of all identification methods in forensic science. There are several primary and secondary sources of DNA samples in the field of forensics. Primary sources can be obtained directly from individuals, whereas secondary sources of DNA samples include items used by someone such as clothes, toothbrushes, and toothpicks. In Asian countries such as Korea, Japan, and Indonesia, toothpicks are often used, as the tip of toothpicks used to clear food particles in the interdental regions can be utilized to capture DNA samples from saliva. The use of saliva samples for DNA analysis in sex identification is based on short tandem repeats with the amelogenin (AMG) locus. The purpose of this study was to examine the concentration and purity of DNA on toothpicks as evidence in criminal case investigations, as well as its potential as sex determination material.
Methods: Eight subjects were instructed to clean the interproximal side of their posterior teeth using a toothpick. Each toothpick sample was kept for 0 days (as a control), 14 days, and 20 days. The purity and DNA concentration of each sample were determined through DNA examination. After determining the concentration and purity of DNA from each sample, electrophoresis of the AMG loci was performed for sex determination.
Results: This study showed that the average concentration of DNA on toothpicks ranged from 425.25 to 796.25 μg/ml, and the average purity of DNA ranged from 1.09 to 1.13 μg/ml. The AMG gene produces 112 and 116 base pair amplicons from the X and Y chromosomes.
Conclusion: Sex determination using DNA can be done using AMG loci, a protein found on the sex chromosomes (X and Y). The value of DNA concentration on toothpicks could be used to support forensic identification after 20 days at room temperature.
Women's empowerment based on self-regulated learning as mother's ability to fulfill nutrition in stunted children

Hastuti AP, Sukartini T, Arief YS, Nursalam N, Roesardhyati R, Kurniawan AW, et al.

Med J Malaysia, 2024 Jan;79(1):28-33.
PMID: 38287754

INTRODUCTION: The role of providing nutrition to children aged 6-24 months who are stunted is related to the mother's ability to provide proper nutrition. Empowerment of mothers based on self-regulated learning is a nursing intervention that can be carried out by using the abilities, belief and individual capacities of mothers in completing tasks, managing and providing nutrition to children aged 6-24 months. Mother's characteristic are motivation, self-esteem, self-efficacy, knowledge, belief and ability to decisionmaking about providing nutrition to children, so it can be a learning process for the mother in using resources which improve the nutrition ability of the mother. This study aims to apply a women's empowerment model based on selfregulated learning in increasing the mother's ability to fulfill nutrition in stunted children aged 6-24 months.
MATERIALS AND METHODS: The research design used a quasiexperiment. The sampling technique used cluster sampling with 76 respondents in intervention group and 76 respondents in control group. The research was conducted in the working area in Public Health Center, Malang Regency. Data analysis in this study used the Wilcoxon Signed Rank Test and Mann-Whitney.
RESULTS: The results of the study found that there were differences in the ability of mothers to fulfill nutrition in stunted children between the intervention group and the control group (p = 0.000). There were mean differences in the ability of mothers to fulfill nutrition for stunted children before and after the intervention in the intervention group with indicators of breastfeeding, food preparation and processing, complementary- feeding and responsive feeding were increased (p = 0.000). However, in the control group, there were no differences in the ability of mothers to fulfill nutrition with indicator breastfeeding (p = 0.462), food preparation and processing (p = 0.721), complementary feeding (p = 0.721), complementary feeding (p = 0.462). (p = 0.054), responsive feeding (p = 0.465) and adherence to stunting therapy (p = 0.722).
CONCLUSION: The women's empowerment model based on self-regulated learning is formed by individual mother factors, family factors, health service system factors, and child factors so that it can increase the mother's ability to fulfill nutrition in children aged 6-24 months who are stunted. The women's empowerment is a learning process about breastfeeding, food hygiene, infant and young children feeding, and responsive feeding by mothers to fulfill nutrition in children with stunting, with a goal and plan to achieve an improvement in mother's ability and nutritional status in children.
Fulltext Age estimation from mandibles in Malay: A 2D geometric morphometric analysis

Zulkifli NAF, Mohd Saaid NAS, Alias A, Mohamed Ibrahim N, Woon CK, Kurniawan A, et al.

J Taibah Univ Med Sci, 2023 Dec;18(6):1435-1445.
PMID: 38162871 DOI: 10.1016/j.jtumed.2023.05.020

OBJECTIVES: In this study, the sizes and forms of mandibles in various age groups of the Malay population were measured and compared.
METHODS: Geometric morphometric (GM) analysis of mandibles from 400 dental panoramic tomography (DPT) specimens was conducted. The MorphoJ program was used to perform generalized Procrustes analysis (GPA), Procrustes ANOVA, principal component analysis (PCA), discriminant function analysis (DFA), and canonical variate analysis (CVA). In the tpsDig2 program, the 27 landmarks were applied to the DPT radiographs. Variations in mandibular size and form were categorized into four age groups: group 1 (15-24 years), group 2 (25-34 years), group 3 (35-44 years), and group 4 (45-54 years).
RESULTS: The diversity in mandibular shape among the first eight principal components was 81%. Procrustes ANOVA revealed significant shape differences (P
Exploring the feasibility of smartphone cameras for 3D modelling of bite patterns in forensic dental identification

Kurniawan A, Hamdani J, Chusida A, Utomo H, Rizky BN, Prakoeswa BFWR, et al.

Leg Med (Tokyo), 2024 Mar;67:102399.
PMID: 38219704 DOI: 10.1016/j.legalmed.2024.102399

The field of bitemark analysis involves examining physical alterations in a medium resulting from contact with teeth and other oral structures. Various techniques, such as 2D and 3D imaging, have been developed in recent decades to ensure precise analysis of bitemarks. This study assessed the precision of using a smartphone camera to generate 3D models of bitemark patterns. A 3D model of the bite mark pattern was created using 3Shape TRIOSTM and a smartphone camera combined with monoscopic photogrammetry. The mesiodistal dimensions of the anterior teeth were measured using Rapidform Explorer and OrtogOnBlender, and the collected data were analyzed using IBM® SPSS® Statistics version 23.0. The mean mesiodistal dimension of the anterior teeth, as measured on the 3D model from 3Shape TRIOSTM and smartphone cameras, was found to be 6.95 ± 0.7667 mm and 6.94 ± 0.7639 mm, respectively. Statistical analysis revealed no significant difference between the two measurement methods, p > 0.05. The outcomes derived from this study unequivocally illustrate that a smartphone camera possessing the specific parameters detailed in this study can create a 3D representation of bite patterns with an accuracy level on par with the outputs of a 3D intraoral camera. These findings underscore the promising trajectory of merging smartphone cameras and monoscopic photogrammetry techniques, positioning them as a budget-friendly avenue for 3D bitemark analysis. Notably, the monoscopic photogrammetry methodology assumes substantial significance within forensic odontology due to its capacity for precise 3D reconstructions and the preservation of critical measurement data.