ArticleHealthcare (Basel, Switzerland)2021
Use of Advanced Artificial Intelligence in Forensic Medicine, Forensic Anthropology and Clinical Anatomy.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Deep learning-based sex estimation from multi-planar cranial CT images in a Thai population.Anatomical science international · 2026Article
- Computed tomography as a tool in the analysis of dentomaxillofacial characteristics for human identification: A bibliometric analysis of the most cited publications.Forensic science, medicine, and pathology · 2026Article
- Interpretable machine learning for individualized sex estimation from long bones.International journal of legal medicine · 2026Article
- Prevalence of generative artificial intelligence sexualized image usage by adolescents in the United States.PloS one · 2026Article
- Deep learning for imaging diagnosis of jaw cystic lesions and maxillofacial tumors: A narrative review.The Journal of international medical research · 2025Review
- YOLO11m-cls applied to sex and age classification based on the radiographic analysis of the nasal aperture.Scientific reports · 2025Article
- Classifying Sex from MSCT-Derived 3D Mandibular Models Using an Adapted PointNet++ Deep Learning Approach in a Croatian Population.Journal of imaging · 2025Article
- Development of artificial intelligence-based algorithms for the process of human identification through dental evidence.International journal of legal medicine · 2025Article
- From traditional to innovative: implications of cranial non-metric traits in personal identification.International journal of legal medicine · 2025Article
- Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2025Review
- Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework.Scientific reports · 2025Article
- Sex estimation from patellar measurements in a contemporary Italian population: a machine learning approach.International journal of legal medicine · 2025Article
- Humanitarian forensic action in East Asia: where are we now? A concise review.Forensic sciences research · 2025Review
- Article
- Developing a fully applicable machine learning (ML) based sex classification model using linear cranial dimensions.Scientific reports · 2024Article
- Artificial Intelligence in Dentistry: A Descriptive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Sex estimation using skull silhouette images from postmortem computed tomography by deep learning.Scientific reports · 2024Article
- The integration and implications of artificial intelligence in forensic science.Forensic science, medicine, and pathology · 2024Article
- Exploring the Practical Applications of Artificial Intelligence, Deep Learning, and Machine Learning in Maxillofacial Surgery: A Comprehensive Analysis of Published Works.Bioengineering (Basel, Switzerland) · 2024Article
- A fully automated classification of third molar development stages using deep learning.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Three-dimensional convolutional neural networks (3D CNN) of artificial intelligence (AI) are potent in image processing and recognition using deep learning to perform generative and descriptive tasks. Compared to its predecessor, the advantage of CNN is that it automatically detects the important features without any human supervision. 3D CNN is used to extract features in three dimensions where input is a 3D volume or a sequence of 2D pictures, e.g., slices in a cone-beam computer tomography scan (CBCT). The main aim was to bridge interdisciplinary cooperation between forensic medical experts and deep learning engineers, emphasizing activating clinical forensic experts in the field with possibly basic knowledge of advanced artificial intelligence techniques with interest in its implementation in their efforts to advance forensic research further. This paper introduces a novel workflow of 3D CNN analysis of full-head CBCT scans. Authors explore the current and design customized 3D CNN application methods for particular forensic research in five perspectives: (1) sex determination, (2) biological age estimation, (3) 3D cephalometric landmark annotation, (4) growth vectors prediction, (5) facial soft-tissue estimation from the skull and vice versa. In conclusion, 3D CNN application can be a watershed moment in forensic medicine, leading to unprecedented improvement of forensic analysis workflows based on 3D neural networks.
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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.