Predicting 60-4 visual field tests using 3D facial reconstruction.

Journal: The British journal of ophthalmology

Published Date: Dec 18, 2023

Abstract

BACKGROUND: Despite, the potential clinical utility of 60-4 visual fields, they are not frequently used in clinical practice partly, due to the purported impact of facial contour on field defects. The purpose of this study was to design and test an artificial intelligence-driven platform to predict facial structure-dependent visual field defects on 60-4 visual field tests.

Authors

Sepideh Jamali Dogahe

Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota, USA.
Armin Garmany

Graduate School of Biomedical Sciences, Alix School of Medicine, Medical Scientist Training Program, Mayo Clinic, Rochester, Minnesota, USA.
Seyedmostafa Sadegh Mousavi

Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota, USA.
Cheryl L Khanna

Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota, USA Khanna.cheryl@mayo.edu.

Keywords

Artificial Intelligence Humans Intraocular Pressure Pilot Projects Predictive Value of Tests Sensitivity and Specificity Tomography, Optical Coherence Vision Disorders Visual Field Tests Visual Fields

External Resources

View on PubMed Access via DOI PubMed (36428007)

Predicting 60-4 visual field tests using 3D facial reconstruction.

Abstract

Authors

Keywords

External Resources

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