Insights into dental age estimation: introducing multiple regression data from a Black South African population on modified gustafson’s criteria DOI Creative Commons

Fabian Rudolphi,

L. Steffens,

D.E. Shay

et al.

International Journal of Legal Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Dental Age Estimation (DAE) is an effective instrument of the rule law for verifying dubious age claims in living individuals. Once tooth development complete, only degenerative dental characteristics can be used this purpose. The influence ethnicity on these has not been clarified.Degenerative changes were examined using modified Gustafson's criteria including secondary dentin formation, cementum apposition, periodontal recession and attrition Olze et al. (2012) staging scales. Orthopantomograms 1882 black South Africans, consisting 934 females 948 males, from 12.00 to 40.96 years chronological utilized. Two independent examiners performed evaluations, with one two evaluating all radiographs twice.The relationship between individual was analyzed multiple regression analysis as dependent variable. resulting R

Language: Английский

Evaluating the Performance of Artificial Intelligence-Based Large Language Models in Orthodontics—A Systematic Review and Meta-Analysis DOI Creative Commons

Farraj Albalawi,

Sanjeev B. Khanagar, Kiran Iyer

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 893 - 893

Published: Jan. 17, 2025

Background: In recent years, there has been remarkable growth in AI-based applications healthcare, with a significant breakthrough marked by the launch of large language models (LLMs) such as ChatGPT and Google Bard. Patients health professional students commonly utilize these due to their accessibility. The increasing use LLMs healthcare necessitates an evaluation ability generate accurate reliable responses. Objective: This study assessed performance answering orthodontic-related queries through systematic review meta-analysis. Methods: A comprehensive search PubMed, Web Science, Embase, Scopus, Scholar was conducted up 31 October 2024. quality included studies evaluated using Prediction model Risk Bias Assessment Tool (PROBAST), R Studio software (Version 4.4.0) employed for meta-analysis heterogeneity assessment. Results: Out 278 retrieved articles, 10 were included. most used LLM (10/10, 100% papers), followed Google’s Bard/Gemini (3/10, 30% Microsoft’s Bing/Copilot AI (2/10, 20% papers). Accuracy primarily Likert scales, while DISCERN tool frequently applied reliability indicated that LLMs, ChatGPT-4 other models, do not significantly differ generating responses related specialty orthodontics. forest plot revealed Standard Mean Deviation 0.01 [CI: 0.42–0.44]. No observed between experimental group (ChatGPT-3.5, Gemini, Copilot) control (ChatGPT-4). However, exhibited high PROBAST risk bias lack standardized tools. Conclusions: extensively variety tasks demonstrated advanced encouraging outcomes compared thus can be regarded valuable enhancing educational learning experiences. While responses, is compromised absence peer-reviewed references, necessitating expert oversight applications.

Language: Английский

Citations

1
Automated Age Estimation from OPG Images and Patient Records Using Deep Feature Extraction and Modified Genetic–Random Forest DOI Creative Commons
Gülfem ÖZLÜ UÇAN,

Omar Abboosh Hussein Gwassi,

Burak Kerem APAYDIN

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(3), P. 314 - 314

Published: Jan. 29, 2025

Background/Objectives: Dental age estimation is a vital component of forensic science, helping to determine the identity and actual an individual. However, its effectiveness challenged by methodological variability biological differences between individuals. Therefore, overcome drawbacks such as dependence on manual measurements, requiring lot time effort, difficulty routine clinical application due large sample sizes, we aimed automatically estimate tooth from panoramic radiographs (OPGs) using artificial intelligence (AI) algorithms. Methods: Two-Dimensional Deep Convolutional Neural Network (2D-DCNN) One-Dimensional (1D-DCNN) techniques were used extract features patient records. To perform feature information, Genetic algorithm (GA) Random Forest (RF) modified, combined, defined Modified Genetic–Random Algorithm (MG-RF). The performance system in our study was analyzed based MSE, MAE, RMSE, R2 values calculated during implementation code. Results: As result applied algorithms, MSE value 0.00027, MAE 0.0079, RMSE 0.0888, score 0.999. Conclusions: findings indicate that AI-based employed herein effective tool for detection. Consequently, propose this technology could be utilized sciences future.

Language: Английский

Citations

0
The Applicability of the Demirjian and Willems Standards to Age Estimation of 6–9-Year-Old Portuguese Children DOI Creative Commons
Ivo José Curcino Vieira, Maria Lurdes Pereira, Inês Morais Caldas

et al.

Humans, Journal Year: 2025, Volume and Issue: 5(1), P. 6 - 6

Published: Feb. 28, 2025

This study evaluates the applicability of Demirjian and Willems’ methods for age estimation in Portuguese children aged 6–9 years based on orthopantomographs (OPGs). The main objective was to compare precision both estimating chronological (CA). analyzed 160 OPGs, equally distributed by sex, dental (DA) calculated twice, using methodologies. findings reveal that Demirjian’s method consistently overestimated an average 1.47 males 1.45 females. Similarly, Willems also but a lesser extent, with mean differences 1.18 0.91 Statistical analysis confirmed significantly overestimate age, most considerable discrepancies observed 8-year-old individuals. Despite providing slightly more accurate results, neither reliable, particularly male subjects. highlights need further refinement these methods, considering their tendency especially specific groups. research improves techniques forensic clinical settings, within pediatric population.

Language: Английский

Citations

0
Künstliche Intelligenz in der forensisch-radiologischen Altersdiagnostik DOI
Maria L. Hahnemann, Andreas Heinrich,

Hans-Joachim Mentzel

et al.

Rechtsmedizin, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Citations

0
Efficacy of artificial intelligence in radiographic dental age estimation of patients undergoing dental maturation: A systematic review and meta-analysis DOI
Soheil Shahbazi, Saharnaz Esmaeili, Shahab Kavousinejad

et al.

International Orthodontics, Journal Year: 2025, Volume and Issue: 23(4), P. 101010 - 101010

Published: May 2, 2025

Language: Английский

Citations

0
Insights into dental age estimation: introducing multiple regression data from a Black South African population on modified gustafson’s criteria DOI Creative Commons

Fabian Rudolphi,

L. Steffens,

D.E. Shay

et al.

International Journal of Legal Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Dental Age Estimation (DAE) is an effective instrument of the rule law for verifying dubious age claims in living individuals. Once tooth development complete, only degenerative dental characteristics can be used this purpose. The influence ethnicity on these has not been clarified.Degenerative changes were examined using modified Gustafson's criteria including secondary dentin formation, cementum apposition, periodontal recession and attrition Olze et al. (2012) staging scales. Orthopantomograms 1882 black South Africans, consisting 934 females 948 males, from 12.00 to 40.96 years chronological utilized. Two independent examiners performed evaluations, with one two evaluating all radiographs twice.The relationship between individual was analyzed multiple regression analysis as dependent variable. resulting R

Language: Английский

Citations

1