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العنوان
Effect of Artificial Intelligence versus guided Landmarks identification on the accuracy of the Lateral Cephalometric Analysis /
المؤلف
Hemeda, Mohamed Gamal Mostafa Mahmoud.
هيئة الاعداد
باحث / محمد جمال مصطفى محمود حميدة
مشرف / وائل محمد مبارك رفاعي
مشرف / محمد جابر كامل
الموضوع
Orthodontics. Dentistry.
تاريخ النشر
2022.
عدد الصفحات
122 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Orthodontics
تاريخ الإجازة
14/3/2022
مكان الإجازة
جامعة المنيا - كلية طب الأسنان - قسم تقويم الأسنان
الفهرس
Only 14 pages are availabe for public view

from 124

from 124

Abstract

Cephalometric investigation has for quite some time been, and still is one of the main apparatuses in assessing craniomaxillofacial skeletal profile. To play out this, manual following of x-beam film and plotting milestones have been required. This technique is tedious and requests skill. Appropriately, automated cephalometric frameworks have been presented these days .
The review was led on fifty horizontal cephalometric radiographs. horizontal cephalometric radiographs were followed by three strategies :
Bunch (A): Human Examiners: Tracing was performed by three orthodontic experts for every sidelong cephalometric radiograph .
Bunch (B): AI bunch: Tracing was performed by AI based programming (webCeph programming) .
Bunch (C): Tracing was performed via mechanized cephalometric examination programming (Romexis programming) .
Three orthodontic experts physically recognized 17 radiographic milestones on each cephalometric radiograph.A complete of 22 unique rakish and direct estimations were broke down. Mean upsides of the three inspectors for every boundary were defi ned as people’s highest quality level and contrasted with bunch (B) and gathering (C’s) forecasts .
The gathered information of the three gatherings were measurably dissected and the information of the two virtual products were contrasted with the people’s highest quality level .

Ends :
-The correlation between the two kinds of programming projects to people’s highest quality level showed that the precision of AI based (Webceph) programming is better compared to the robotized cephalometric examination (Romexis) programming .
-In many boundaries AI displayed as exact a distinguishing proof of cephalometric tourist spots as did human inspectors.

Recommendations
Further investigations are required with the goal that we can acquire better information regarding how precise is the completely mechanized examination also the semi computerized examination.
Another investigations are expected to permit the examination between two kinds of non man-made consciousness programming projects to distinguish the precision of their completely mechanized examination.