3 results match your criteria: "UMMC School of Dentistry[Affiliation]"

Automatic feature segmentation in dental panoramic radiographs.

Sci Prog

October 2024

Department of Oral Pathology, Radiology and Medicine, Kansas City School of Dentistry, University of Missouri, Kansas City, MO, USA.

Objective: The purpose of the present study was to verify the diagnostic performance of an AI system for the automatic detection of teeth, caries, implants, restorations, and fixed prosthesis on panoramic radiography.

Methods: This is a cross-sectional study. A dataset comprising 1000 panoramic radiographs collected from 500 adult patients was analyzed by an AI system and compared with annotations provided by two oral and maxillofacial radiologists.

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Neurofibromatosis type 1 (NF1) is an autosomally dominant tumor suppressor syndrome and multisystem disease. Central giant-cell granulomas (CGCGs) can be seen in patients with NF1. A 21-year-old female was diagnosed with two CGCGs, one in the mandible and then one in the maxilla, in a 7-year period.

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Purpose/objectives: The purpose of this study was to calculate the male to female dean ratio in the US dental schools, assess whether the dean's gender is affected by specific school characteristics (such as geographic location or class size), and determine whether the dean's gender affects the percent of women in the school leadership team.

Methods: Each US school's website was reviewed to capture the name and gender of each dean and others holding assistant, associate or vice dean positions. All data were entered in an Excel database (Microsoft Excel 2016) and analyzed using a statistical analysis software program (IBM SPSS Statistics, v26; IBM Corp).

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