Optimizing Predictive Models for Distance and Near Vision Outcomes in Presbyopic Surgery Using Machine Learning

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PurposeTo develop predictive models for postoperative visual acuity—both near and distance, monocular and binocular—and a composite outcome metric, distance-corrected visual gain (DCVG), in patients undergoing presbyopic corneal refractive surgery.MethodsA retrospective analysis was performed on 914 eyes from 457 patients treated with PresbyMAX who completed 6 months of follow-up. Machine learning algorithms, including Random Forest regression and classification models, were applied to predict corrected distance visual acuity (CDVA) and distance-corrected near visual acuity (DCNVA), both measured using the same distance correction. Feature importance was evaluated using Shapley additive explanations (SHAP) and partial dependence plots (PDPs).ResultsBinocular models outperformed monocular in predictive accuracy, and CDVA was more predictable than DCNVA. A clinical trade-off was observed whereby improvements of up to three lines in DCNVA could be achieved without significant CDVA loss. The optimal planned addition ranged between +1.50 D and +2.25 D, balancing near and distance vision outcomes. Patients 45 to 56 years of age showed greater potential for near vision gain without compromising distance vision. The DCVG metric effectively quantified overall visual benefits, with only a minority of cases showing a net loss.ConclusionsPredictive modeling combined with the DCVG metric enables personalized surgical planning by identifying key factors influencing outcomes. This approach supports better management of the visual trade-offs inherent in presbyopic refractive surgery.Translational RelevanceMachine learning–based prediction models and the DCVG metric facilitate individualized clinical decision-making, improving patient counseling and optimizing the balance between near and distance vision in presbyopic treatment.

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Purpose: To assess the primary visual disability in patients with cataract and to evaluate their preference regarding the visual outcome after surgery. Materials and Methods: 120 patients (66 males, mean age 76.3 years, mean best corrected visual acuity 5.2/10 binocularly) participated. Perception regarding the primary visual disability related to cataract and preference of visual outcome after surgery were assessed by a questionnaire. All study procedures adhered to the principles outlined in the Declaration of Helsinki for research involving human subjects, and all participants gave written informed consent before their participation. Results: 74 patients (61.6%) had difficulty in distant vision, 5 (4.2%) in near vision, 17 (14.2%) mentioned blurred vision, 14 (11.7%) difficulty in driving especially at night, 7 (5.8%) complained about monocular diplopia and 3 (2.5%) about anisometropia. All mentioned that they preferred to obtain clear distant and near vision after cataract surgery. Conclusions: There was an interesting variety in visual disability related to cataract. The difficulty in distant vision was the primary visual deficit in the majority of the patients and the preference for clear distant and near vision was the desired postoperative visual outcome.

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