Skip to content

Objective and Quantitative Assessment of Facial Vitiligo via AI-powered 3D Analysis for Diagnostic Support.

Jul 2026 · British Journal of Dermatology · 0 citations
Medicine

TL;DR

Compared with manual assessments, AI support improved diagnostic accuracy, reduced interobserver variability, and offered consistent measurements across sessions, highlighting the promise of integrating AI-driven 3D tools into routine dermatological practice to enhance patient monitoring and optimize treatment planning.

View source

Similar papers

Open access Oct 2026

Comparison of Facial Feature Grading by an AI-Based System Versus Human Expert Grading on Images Under Standardized Clinical and At-Home Settings

Digital photography remains the gold standard for dermatological assessment, but reliance on standardized stationary image-capture systems limits trial scalability, whereas smartphones combined with computer vision artificial intelligence (AI) could enable hybrid and decentralized clinical trials (DCTs). This study ass...

D. Danko, T. Tlyachev, K. Kiselev et al. · 0 citations
Open access Sep 2026

Automated measurement of Little’s Irregularity Index on intraoral photographs using a convolutional neural network

Quantification of dental irregularities is essential for assessing case severity, evaluating treatment outcomes, and aiding early detection of fixed retainer failure. Measurements are typically performed on casts or digital scans, although manual measurement on intraoral photographs has been explored to enable remote m...

Moritz Kanemeier, Tuna Ergün, Thomas Stamm et al. · 0 citations
Open access Sep 2026

Deep Learning-Based Automated Detection and Geometric Severity Assessment of Open Gingival Embrasures in Intraoral Photographs: A Multicentre Study.

The proposed approach provides objective OGE assessment from clinical intraoral photographs and may support future remote orthodontic monitoring after further validation with patient-acquired images.

Rui-Jie Zhang, Lang Lei, Xiang-Long Han et al. · 0 citations
Review Open access Aug 2026

Diagnostic performance of artificial intelligence for orthodontic and dentofacial assessment using 2D and 3D facial images: A systematic review.

Current evidence supports AI-based analysis of 2D and 3D facial data showed promising performance for selected orthodontic and dentofacial tasks, and methodological heterogeneity, predominantly internal evaluation, and low overall certainty limited clinical translation.

Hugo Henrique dos Santos Dantas Guimarães, Karla-Nogueira Matos · 0 citations
Open access Sep 2026

Automated assessment of aesthetic outcomes following combined facial aesthetic surgery – a pilot study

Outcomes after combined facial aesthetic surgery (CFAS), defined as the simultaneous performance of two or more facial rejuvenation procedures in a single operative setting, are commonly evaluated using subjective tools with high interrater variability. This pilot feasibility study aimed to explore a quantitative, auto...

Khalil Sherwani, L. Knoedler, Thomas Schaschinger et al. · 0 citations
Conference Open access 2026

A Proposed Method for Measuring the Aesthetic Outcome of Head Surgery

Objective quantification of facial asymmetry is important for evaluating postoperative aesthetic outcomes in head and neck surgery. This paper presents a semi-automatic, low-cost framework for three-dimensional facial symmetry analysis based on consumer-grade 3D facial scanning. The proposed workflow consists of facial...

Hao-Yuan Lei, Máté Bobály, József Tamás Batta et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.