Variational autoencoder-based estimation of chronological age and changes in morphological features of teeth

Joo, Subin; Jung, Won Seok; Oh, Seung Eel

doi:10.1038/s41598-023-27950-4

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…After-death estimation of adults' dental age is complicated because as age advances, the dentitions become influenced by numerous exogenous and endogenous factors which may lead to discrepancies between dental age and chronologic age. Age estimation in adults needs multidisciplinarity and a combination of skeletal, biochemical, and molecular methods and various models including artificial intelligence (AI) models [7,8,9]. On the basis of photographs (Fig.…”

Section: Teeth Photos From Copernicus's Second Funeralmentioning

confidence: 99%

Factors that Contributed to the Good Condition of Nicolaus Copernicus’s Teeth

Mikołajczyk

2024

AHiFM

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Nicolaus Copernicus was not only a world-famous astronomer but a physician as well. He was born on 19th February 1473 in Toruń and died on 24th May 1543 in Frombork. His remains were found in 2005 in Frombork Cathedral. The aim of this work is to identify the reasons for mild tooth loss in the maxilla of 70-year-old Nicolaus Copernicus. This study analyzed the photos of the maxilla with the following teeth (according to the FDI notation): 22, 13, 23, 14, 24, 15, 25, and 26 from Copernicus’s second funeral in 2010. After analysis of the historical texts, it was confirmed that Copernicus had broad knowledge of various subjects, including medicine, which may have influenced his awareness of dental hygiene and healthy lifestyle. His diet and general health condition were also scrutinized. The very good state of the teeth of 70-year-old Nicolaus Copernicus may be connected to his high education and social background, wide knowledge of medicine and oral hygiene, proper dietary and lifestyle habits, and good general health. It is probable that the above-mentioned factors had a major impact on Copernicus’s longevity. This study is the first to find reasons for the good condition of Nicolaus Copernicus’s teeth on the day of his death. The improvement of knowledge about Nicolaus Copernicus’s prevention of dental disease may be important for the good condition and longevity of the current human population.

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Section: Teeth Photos From Copernicus's Second Funeralmentioning

confidence: 99%

Factors that Contributed to the Good Condition of Nicolaus Copernicus’s Teeth

Mikołajczyk

2024

AHiFM

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“…The successful combination of DL with orthodontic photographs allowed effective categorization of the tooth crowding problem and good decision-making on the choice of orthodontic treatment strategy [79]. Furthermore, the exploration of variational autoencoders and the application of ML setups for sexual dimorphism showcased a shift towards more complex and versatile models, contributing to enhanced diagnostic capabilities in dental imaging [80,81]. These progressive developments underscore the transformative potential of ML in revolutionizing dental diagnostics and treatment planning.…”

Section: Strengthsmentioning

confidence: 99%

Teeth Microcracks Research: Towards Multi-Modal Imaging

Dumbryte,

Narbutis,

Androulidaki

et al. 2023

Bioengineering

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This perspective is an overview of the recent advances in teeth microcrack (MC) research, where there is a clear tendency towards a shift from two-dimensional (2D) to three-dimensional (3D) examination techniques, enhanced with artificial intelligence models for data processing and image acquisition. X-ray micro-computed tomography combined with machine learning allows 3D characterization of all spatially resolved cracks, despite the locations within the tooth in which they begin and extend, and the arrangement of MCs and their structural properties. With photoluminescence and micro-/nano-Raman spectroscopy, optical properties and chemical and elemental composition of the material can be evaluated, thus helping to assess the structural integrity of the tooth at the MC site. Approaching tooth samples having cracks from different perspectives and using complementary laboratory techniques, there is a natural progression from 3D to multi-modal imaging, where the volumetric (passive: dimensions) information of the tooth sample can be supplemented by dynamic (active: composition, interaction) image data. Revelation of tooth cracks clearly shows the need to re-assess the role of these MCs and their effect on the structural integrity and longevity of the tooth. This provides insight into the nature of cracks in natural hard materials and contributes to a better understanding of how bio-inspired structures could be designed to foresee crack propagation in biosolids.

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Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review

Chen,

Dhawan,

Liu

et al. 2024

Clinical & Exp Dental Res

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ObjectivesArtificial intelligence (AI) is an emerging field in dentistry. AI is gradually being integrated into dentistry to improve clinical dental practice. The aims of this scoping review were to investigate the application of AI in image analysis for decision‐making in clinical dentistry and identify trends and research gaps in the current literature.Material and MethodsThis review followed the guidelines provided by the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses Extension for Scoping Reviews (PRISMA‐ScR). An electronic literature search was performed through PubMed and Scopus. After removing duplicates, a preliminary screening based on titles and abstracts was performed. A full‐text review and analysis were performed according to predefined inclusion criteria, and data were extracted from eligible articles.ResultsOf the 1334 articles returned, 276 met the inclusion criteria (consisting of 601,122 images in total) and were included in the qualitative synthesis. Most of the included studies utilized convolutional neural networks (CNNs) on dental radiographs such as orthopantomograms (OPGs) and intraoral radiographs (bitewings and periapicals). AI was applied across all fields of dentistry ‐ particularly oral medicine, oral surgery, and orthodontics ‐ for direct clinical inference and segmentation. AI‐based image analysis was use in several components of the clinical decision‐making process, including diagnosis, detection or classification, prediction, and management.ConclusionsA variety of machine learning and deep learning techniques are being used for dental image analysis to assist clinicians in making accurate diagnoses and choosing appropriate interventions in a timely manner.

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Variational autoencoder-based estimation of chronological age and changes in morphological features of teeth

Cited by 6 publications

References 28 publications

Factors that Contributed to the Good Condition of Nicolaus Copernicus’s Teeth

Factors that Contributed to the Good Condition of Nicolaus Copernicus’s Teeth

Teeth Microcracks Research: Towards Multi-Modal Imaging

Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review

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