A hybrid convolutional neural network model for dental age estimation using buccal alveolar bone level for Saudi children. [PDF]
Mazloom Nezhad SM +7 more
europepmc +1 more source
Abstract Nowadays, Lepidosauria is a diverse group represented by squamates and the rhynchocephalian tuatara. However, their origins date back to the end of the Permian Period, when the stem lineages Lepidosauromorpha and Archosauromorpha diverged. Within the lepidosauromorph stem lineage, a few species have been described with unstable phylogenetic ...
Lísie Vitória Soares Damke +4 more
wiley +1 more source
Early diagnosis of acute lymphoblastic leukemia utilizing clinical, radiographic, and dental age indicators. [PDF]
Ghouraba RF +4 more
europepmc +1 more source
Craniofacial growth, modeling, and estimation of milestones
Abstract Understanding craniofacial growth is foundational for research into intra‐ and interspecies variation, evolution, and clinical care. The Craniofacial Growth Consortium Study (CGCS), combines cephalographs from historical growth studies to create a dense longitudinal record of growth from 6 to 22 years of age.
Richard J. Sherwood +6 more
wiley +1 more source
Development and evaluation of a deep learning-based system for dental age estimation using the demirjian method on panoramic radiographs. [PDF]
Balel Y, Sağtaş K, Bülbül HN.
europepmc +1 more source
Postnatal craniomandibular growth in Harbor seals (Phoca vitulina vitulina)
Postnatal ontogeny in Harbor seals (Phoca vitulina vitulina). Cranium and mandible grow rapidly until 5 years of age, followed by a deceleration and finally a stagnation. Abstract As secondarily aquatic carnivores, seals display several phenotypic differences compared to their terrestrial relatives.
Elisabeth Steinbach +2 more
wiley +1 more source
Dental age estimation using the London atlas- which tooth and which tooth stage predict age best (excluding 3rd molars)? [PDF]
Tan WX, Davies JA, Liversidge HM.
europepmc +1 more source
Purpose To estimate the number, risk factors, and types of basketball‐related injuries in pediatric patients who presented to United States emergency departments between 2019 and 2023, as estimated by the National Electronic Injury Surveillance System (NEISS).
Samisha M. Khangaonkar +7 more
wiley +1 more source
Dental Age Estimation from Panoramic Radiographs: A Comparison of Orthodontist and ChatGPT-4 Evaluations Using the London Atlas, Nolla, and Haavikko Methods. [PDF]
Dursun D, Bilici Geçer R.
europepmc +1 more source
Objective To assess the 2022 American College of Rheumatology (ACR)/EULAR classification criteria for antineutrophil cytoplasmic antibody–associated vasculitis (AAV) in children with chronic small‐to‐medium vessel vasculitis. Methods A cohort of 574 patients, identified by physician's diagnosis (MD‐diagnosis) in A Registry of Childhood Vasculitis, was ...
David A. Cabral +41 more
wiley +1 more source

