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Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty.
Invest Ophthalmol Vis Sci
January 2025
Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, Korea.
Purpose: Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in corneal transplantation over the past two decades. This study aims to identify predisposing risk factors for post-DMEK ocular hypertension (OHT) and develop a preoperative predictive model for post-DMEK OHT.
Methods: Patients who underwent DMEK at Gangnam Severance Hospital between 2017 and 2024 were included in the study.
Visual Outcomes and Quality of Vision After Bilateral Implantation of a Hydrophobic Acrylic Trifocal Intraocular Lens.
Clin Ophthalmol
January 2025
Sengi, Penniac, NB, Canada.
Purpose: To evaluate visual outcomes and quality of vision following bilateral implantation of a hydrophobic acrylic intraocular lens (IOL) in eyes targeted for emmetropia.
Methods: This was a prospective, single arm study. Subjects were bilaterally implanted with the Clareon PanOptix IOL and evaluated at 1 and 3 months postoperatively.
Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes.
Life (Basel)
January 2025
Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, 61-553 Poznan, Poland.
To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (MedAE) and the percentage of eyes with a prediction error (PE) within ±0.5 D. Data on Caucasian patients who underwent uneventful phacoemulsification between May 2018 and September 2023 in MW-Med Eye Center, Krakow, Poland and Kyiv Clinical Ophthalmology Hospital Eye Microsurgery Center, Kyiv, Ukraine were reviewed.
View Article and Find Full Text PDFThe Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children.
Medicina (Kaunas)
December 2024
Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 242, Taiwan.
The rising prevalence of myopia is a significant global health concern. Atropine eye drops are commonly used to slow myopia progression in children, but their long-term use raises concern about intraocular pressure (IOP). This study uses SHapley Additive exPlanations (SHAP) to improve the interpretability of machine learning (ML) model predicting end IOP, offering clinicians explainable insights for personalized patient management.
View Article and Find Full Text PDFDirect Prediction of 48 Month Survival Status in Patients with Uveal Melanoma Using Deep Learning and Digital Cytopathology Images.
Cancers (Basel)
January 2025
Ocular Oncology Service, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Background: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. The median overall survival time for patients who develop metastasis is approximately one year. In this study, we aim to leverage deep learning (DL) techniques to analyze digital cytopathology images and directly predict the 48 month survival status on a patient level.
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