Application of artificial intelligence in oculoplastics

Cai, Yilu; Zhang, Xuan; Cao, Jing; Grzybowski, Andrzej; Ye, Juan; Lou, Lixia

doi:10.1016/j.clindermatol.2023.12.019

Cited by 5 publications

(2 citation statements)

References 46 publications

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“…The methodology is recognized for its role in the early detection and diagnosis of conditions like blepharoptosis and in monitoring the progression of thyroid eye disease. Notably, these models are integral in enhancing the precision of therapeutic strategies, particularly in formulating meticulous surgical plans for the treatment of blepharoptosis [70].…”

Section: Discussionmentioning

confidence: 99%

Reliability and Agreement of Free Web-Based 3D Software for Computing Facial Area and Volume Measurements

Topsakal,

Sawyer,

Akinci

et al. 2024

BioMedInformatics

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Background: Facial surgeries require meticulous planning and outcome assessments, where facial analysis plays a critical role. This study introduces a new approach by utilizing three-dimensional (3D) imaging techniques, which are known for their ability to measure facial areas and volumes accurately. The purpose of this study is to introduce and evaluate a free web-based software application designed to take area and volume measurements on 3D models of patient faces. Methods: This study employed the online facial analysis software to conduct ten measurements on 3D models of subjects, including five measurements of area and five measurements of volume. These measurements were then compared with those obtained from the established 3D modeling software called Blender (version 3.2) using the Bland–Altman plot. To ensure accuracy, the intra-rater and inter-rater reliabilities of the web-based software were evaluated using the Intraclass Correlation Coefficient (ICC) method. Additionally, statistical assumptions such as normality and homoscedasticity were rigorously verified before analysis. Results: This study found that the web-based facial analysis software showed high agreement with the 3D software Blender within 95% confidence limits. Moreover, the online application demonstrated excellent intra-rater and inter-rater reliability in most analyses, as indicated by the ICC test. Conclusion: The findings suggest that the free online 3D software is reliable for facial analysis, particularly in measuring areas and volumes. This indicates its potential utility in enhancing surgical planning and evaluation in facial surgeries. This study underscores the software’s capability to improve surgical outcomes by integrating precise area and volume measurements into facial surgery planning and assessment processes.

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Section: Discussionmentioning

confidence: 99%

Reliability and Agreement of Free Web-Based 3D Software for Computing Facial Area and Volume Measurements

Topsakal,

Sawyer,

Akinci

et al. 2024

BioMedInformatics

View full text Add to dashboard Cite

show abstract

“…U-Net is a popular subset of DL, showing the advantages of segmenting small targets from medical images, and has proven its effectiveness in lesion segmentation of diabetic retinopathy, glaucoma, and oculoplastic diseases. 16 , 17 , 18 In this study, we replaced the traditional convolutional block in each layer with the recurrent residual convolutional unit, which provided a higher accuracy in the refined segmentation of challenging areas than that of the traditional U-Net structure. Figure 1 shows the workflow of the automatic eyelid contour analysis system.…”

Section: Methodsmentioning

confidence: 99%