Results 91 to 100 of about 3,246 (161)

Automated deep neural network analysis of lateral cephalogram data can aid in detecting obstructive sleep apnea. [PDF]

open access: yesJ Clin Sleep Med, 2023
Jeong HG   +9 more
europepmc   +1 more source

Accuracy of one-step automated orthodontic diagnosis model using a convolutional neural network and lateral cephalogram images with different qualities obtained from nationwide multi-hospitals. [PDF]

open access: yesKorean J Orthod, 2022
Yim S   +14 more
europepmc   +1 more source

Clinical and Cephalometric Assessments in Grade II and Grade IV Adenoid Hypertrophy: A Cross-Sectional Study

open access: yesمجلة كلية الطب
Background: Adenoid hypertrophy is one of the most common causes of nasal obstruction, and physicians use different methods to investigate it to reach a definite diagnosis.
Afnan R. Razaq, Hayder F. Saloom
doaj   +1 more source

Comparison of orthopantomogram and lateral cephalogram for mandibular measurements

open access: yesInternational Journal of Applied Dental Sciences, 2022
Dr. Diksha Koushal   +1 more
openaire   +1 more source

A Novel Algorithm for Forensic Identification Using Geometric Cranial Patterns in Digital Lateral Cephalometric Radiographs in Forensic Dentistry

open access: yesDiagnostics
Lateral cephalometric radiographs are crucial in dentistry and orthodontics for diagnosis and treatment planning. However, their use in forensic identification, especially with burned bodies or in mass disasters, is challenging.
Shahab Kavousinejad   +3 more
doaj   +1 more source

A COMPARATIVE STUDY OF DIGITAL LATERAL CEPHALOGRAM AND VIRTUAL CONE-BEAM COMPUTED ASSISTED CEPHALOGRAM IN CEPHALOMETRIC ANALYSIS

open access: yesJournal of Ayub Medical College Abbottabad
Background: The Advent of innovative technologies like Cone Beam Computed Tomography (CBCT) scans presents itself as an alternative to traditional lateral cephalometric radiography. However, it is imperative to validate images generated using this technology for meaningful comparisons.
Momna Qadeer   +2 more
openaire   +1 more source

Applying Machine-Learning Models on Lateral Cephalogram Parameters to Classify Skeletal Classes I and III Arab Orthodontic Patients, Instead of Individualized Parameters. [PDF]

open access: yesJ Int Soc Prev Community Dent
Midlej K   +7 more
europepmc   +1 more source

Prevalence of Ponticulus Posticus among Orthodontic Patients of Iranian Population by Lateral Cephalogram. [PDF]

open access: yesMed J Islam Repub Iran
Bagherpour A   +4 more
europepmc   +1 more source

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