The International Congress on Health Studies
ARTIFICIAL INTELLIGENCE-ASSISTED CEPHALOMETRIC ANALYSIS VERSUS
MANUAL TRACING IN DISTAL OCCLUSION TREATMENT: A COMPARATIVE
CLINICAL STUDY USING WEBCEPH AND CEPHX PLATFORMS
Sherzodbek Ruziev (Kokand University Andijan Branch); Nigmatov Rakhmatulla (Tashkent State
Dental Institute); Nigmatova Iroda (Tashkent State Dental Institute)
Background: Traditional manual cephalometric analysis remains the gold standard in orthodontic
diagnosis despite being time-consuming and operator-dependent. Artificial intelligence (AI) platforms
offer automated solutions that may enhance accuracy and efficiency in orthodontic treatment
planning.
Objective: To compare the accuracy, reliability, and clinical efficiency of AI-assisted cephalometric
analysis using WebCeph and CephX platforms versus conventional manual tracing methods in patients
with
distal
occlusion
(Class
II
malocclusion).
Methods: A prospective comparative study was conducted with 20 patients (mean age 14.2 ± 2.3 years)
diagnosed with Class II malocclusion. Lateral cephalometric radiographs were analyzed using three
methods: manual tracing, WebCeph automated analysis, and CephX automated analysis. Seventeen
cephalometric parameters were measured, including angular (SNA, SNB, ANB, GoGn-SN, U1-SN, L1-
MP) and linear measurements. Statistical analysis included paired t-tests, intraclass correlation
coefficients
(ICC),
and
Bland-Altman
plots.
Results: AI-assisted platforms demonstrated high correlation with manual measurements (ICC > 0.85
for most parameters). WebCeph showed superior performance in angular measurements (mean
difference < 1.2°), while CephX excelled in linear measurements (mean difference < 0.8mm). Analysis
time was significantly reduced: manual (45.2 ± 8.1 minutes), WebCeph (3.4 ± 0.6 minutes), CephX (2.8
± 0.5 minutes). Both AI platforms showed excellent intra-examiner reliability (ICC > 0.90).
Conclusions: AI-assisted cephalometric analysis platforms provide clinically acceptable accuracy with
significant time savings compared to manual methods. These technologies can enhance orthodontic
workflow efficiency while maintaining diagnostic precision in distal occlusion treatment planning.
Keywords:
Artificial Intelligence, Cephalometrics, Orthodontics, Class Ii Malocclusion, Digital Diagnosis,
Webceph, Cephx
