Abstract Listings 2025

AI Prediction of Visual Field Restriction Severity in Ptosis/Dermatochalasis using Portrait Photographs

Author: Cornelius Wiedenmann
Base Hospital / Institution: Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany

ePoster presentation

Abstract ID: 25-181

Purpose

To investigate the feasibility of classifying the severity of upper visual field restriction caused by ptosis and dermatochalasis using Artificial Intelligence (AI) analysis of digital portrait photographs, aiming to develop an alternative to standard perimetry.


Methods

Archived portrait photographs and corresponding same-day perimetry results were retrieved. Photographs were processed (halved, mirrored) to create symmetrical faces for side-specific comparison with upper visual field limits. Image data were transformed into a high-dimensional feature space using the CLIP model (OpenAI). Multi-Layer Perceptron (MLP) models were trained on 80% of the data to quantitatively predict visual field restriction and validated on the remaining 20%. Patients were classified in three different classes according to upper visual field restriction of < 16° (class 1), 16 – 25° (class 2) and > 25° (class 3). Agreement between predicted and actual classes was assessed using confusion matrices and Receiver-Operating-Characteristics (ROC)-curve analysis.


Results

Data from 1442 image pairs (721 patients) were included. The precision of the AI predicted class was 0.70 for class 1, 0.44 for class 2 and 0.77 for class 3 . ROC-curve for class 1 showed an area under the curve (AUC) of 0.92, class 2 of 0,67 and class 3 of 0.88.


Conclusion

This study demonstrates that predicting visual field restriction from portrait photographs using AI is feasible, especially in patients with upper visual field restriction of < 16° or > 25°. This approach holds potential as time-effective less burdensome screening or diagnostic tool compared to traditional perimetry, potentially simplifying and accelerating patient assessment for ptosis and dermatochalasis.


Additional Authors

First name Last name Base Hospital / Institution
Philipp Heine Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
Sebastian Arens Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
Daniel Böhringer Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
Thomas Reinhard Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany

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