Results 21 to 30 of about 277,259 (259)

Soft Tissue Cephalometric Measurements Among Malaysian Malays and Chinese

open access: yesPesquisa Brasileira em Odontopediatria e Clínica Integrada, 2022
Objective: To obtain the standardized values of individuals of Malaysian Malay and Chinese for further relevant research, such as treatment planning and aesthetical considerations.
Nor Farid Mohd Noor   +5 more
doaj  

Deep Learning in Cardiology

open access: yes, 2021
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis   +1 more
core   +1 more source

A survey of cone-beam computed tomographic use among Iranian endodontists [PDF]

open access: yesJournal of Dental Materials and Techniques, 2023
Objective: Cone beam computed tomography (CBCT) is an imaging modality that has recently gained increasing popularity for dental imaging. This study aimed to investigate the usage of CBCT imaging among Iranian Association of Endodontists members using an
Maryam Forghanirad   +3 more
doaj   +1 more source

Design and Assessment of an Interactive Digital Tutorial for Undergraduate-Level Sandstone Petrology [PDF]

open access: yes, 2003
This study describes the goals, features and effectiveness of a digital interactive tutorial which was created to provide undergraduates a 'virtual microscope' resource for learning sandstone petrology.
Earle McBride   +3 more
core   +1 more source

C.E. Credit. Artificial Intelligence Applications for the Radiographic Detection of Periodontal Disease: A Scoping Review

open access: yesJournal of the California Dental Association, 2023
Background Calculating radiographic bone loss (RBL) can be time-consuming, labor-intensive, and examiner dependent. Artificial intelligence (AI) models have been developed to automate the detection of RBL and the risk of developing periodontal disease ...
Anne Miller   +3 more
doaj   +1 more source

Mental Foramen Size, Position and Symmetry in a Multi-Ethnic, Urban Black Population: Radiographic Evidence

open access: yeseJournal of Oral Maxillofacial Research, 2018
Objectives: To determine the approximate location, shape and dimensions of the mental foramen in African subjects using panoramic radiographs. Material and Methods: This study analysed 320 orthopantomograms of subjects from two centres.
Seidu Adebayo Bello   +3 more
doaj   +1 more source

Principles and Applications of Dual-Layer Spectral CT in Gastrointestinal Imaging

open access: yesDiagnostics, 2023
The advance in technology allows for the development of different CT scanners in the field of dual-energy computed tomography (DECT). In particular, a recently developed detector-based technology can collect data from different energy levels, thanks to ...
Paolo Niccolò Franco   +9 more
doaj   +1 more source

Computer‐assisted learning as an alternative to didactic lectures: A study of teaching the physics of diagnostic imaging [PDF]

open access: yes, 1999
A computer‐assisted learning (CAL) package entitled Physics of Diagnostic Imaging was developed in 1995 to replace five hours of didactic lectures at the University of Glasgow Faculty of Veterinary Medicine, and has been available as an additional ...
Dale, V.H.M., Irvine, D.R., Sullivan, M.
core   +3 more sources

Comparison of Ki67 Proliferation Index in Gastrointestinal Non-Hodgkin Large B-Cell Lymphomas: The Conventional Method of Evaluation or AI Evaluation?

open access: yesDiagnostics, 2023
The most common NHL subtype in SEEU is DLBCL (39%), and it manifests with a variety of cellular morphologies and a high proliferation index. Also, the GI tract is the most common site of extranodal NHLs, and most NHLs involving the GI tract are of B-cell
Miruna Cristian   +8 more
doaj   +1 more source

Mayo imaging classification is a good predictor of rapid progress among Korean patients with autosomal dominant polycystic kidney disease: results from the KNOW-CKD study [PDF]

open access: yesKidney Research and Clinical Practice, 2022
Background Mayo imaging classification (MIC) is a useful biomarker to predict disease progression in autosomal dominant polycystic kidney disease (ADPKD). This study was performed to validate MIC in the prediction of renal outcome in a prospective Korean
Hayne Cho Park   +11 more
doaj   +1 more source

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