ArticleMolecules (Basel, Switzerland)2022
Human Remains Identification Using Micro-CT, Chemometric and AI Methods in Forensic Experimental Reconstruction of Dental Patterns after Concentrated Sulphuric Acid Significant Impact.
Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 30 citations in OpenAlex.
- Tracing Corrosive Damage in Human Teeth: A Forensic Pilot Study of Household Agents Using Stereomicroscopy, SEM-EDX and Ground Sections.Molecules (Basel, Switzerland) · 2026Article
- Comparison of Different Artificial Intelligence Tools in Regard to Forensic Dentistry: A Comparative Study.Journal of pharmacy & bioallied sciences · 2025Article
- Forensic Odontology in the Digital Era: A Narrative Review of Current Methods and Emerging Trends.Diagnostics (Basel, Switzerland) · 2025Review
- Computed tomography differentiation of compact and cancellous bone tissue in short and sesamoid bones.Radiology and oncology · 2025Article
- A Systematic Review About Postmortem Pink Teeth: Forensic Classification, Diagnostic Value, and Analysis Methods.Diagnostics (Basel, Switzerland) · 2025Review
- Development of artificial intelligence-based algorithms for the process of human identification through dental evidence.International journal of legal medicine · 2025Article
- Article
- Developing a fully applicable machine learning (ML) based sex classification model using linear cranial dimensions.Scientific reports · 2024Article
- Application of Convolutional Neural Networks for Determining Gender and Age in Forensic Dentistry.Cureus · 2024Article
- Convolutional neural network for automated tooth segmentation on intraoral scans.BMC oral health · 2024Article
- A fully automated classification of third molar development stages using deep learning.Scientific reports · 2024Article
- Application of deep learning in isolated tooth identification.BMC oral health · 2024Article
- Review
- Literature Review of an Anterior Deprogrammer to Determine the Centric Relation and Presentation of Cases.Bioengineering (Basel, Switzerland) · 2023Article
- Artificial intelligence in forensic medicine and forensic dentistry.The Journal of forensic odonto-stomatology · 2023Review
- Partners in Postmortem Interval Estimation: X-ray Diffraction and Fourier Transform Spectroscopy.International journal of molecular sciences · 2023Article
- Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment.Healthcare (Basel, Switzerland) · 2023Review
- Smartphone-Based Facial Scanning as a Viable Tool for Facially Driven Orthodontics?Sensors (Basel, Switzerland) · 2022Article
- Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis.Healthcare (Basel, Switzerland) · 2022Review
- Supernumerary molars' prevalence in a Romanian population sample and their potential value in forensic investigation.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
(1) Teeth, in humans, represent the most resilient tissues. However, exposure to concentrated acids might lead to their dissolving, thus making human identification difficult. Teeth often contain dental restorations from materials that are even more resilient to acid impact. This paper aims to introduce a novel method for the 3D reconstruction of dental patterns as a crucial step for the digital identification of dental records. (2) With a combination of modern methods, including micro-computed tomography, cone-beam computer tomography, and attenuated total reflection, in conjunction with Fourier transform infrared spectroscopy and artificial intelligence convolutional neural network algorithms, this paper presents a method for 3D-dental-pattern reconstruction, and human remains identification. Our research studies the morphology of teeth, bone, and dental materials (amalgam, composite, glass-ionomer cement) under different periods of exposure to 75% sulfuric acid. (3) Our results reveal a significant volume loss in bone, enamel, dentine, as well as glass-ionomer cement. The results also reveal a significant resistance by the composite and amalgam dental materials to the impact of sulfuric acid, thus serving as strong parts in the dental-pattern mosaic. This paper also probably introduces the first successful artificial intelligence application in automated-forensic-CBCT segmentation. (4) Interdisciplinary cooperation, utilizing the mentioned technologies, can solve the problem of human remains identification with a 3D reconstruction of dental patterns and their 2D projections over existing ante-mortem records.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.