ArticleTranslational vision science & technology2024
A New Intraocular Lens Power Formula Integrating an Artificial Intelligence-Powered Estimation for Effective Lens Position Based on Chinese Eyes.
Article in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of Kane, Hill-RBF, and PEARL-DGS versus traditional IOL formulas in highly myopic eyes: a systematic review and meta-analysis.BMC ophthalmology · 2026Pooled it
- Accuracy of new-generation intraocular lens formulas in IOL power calculation for cataract extraction combined with vitrectomy.International ophthalmology · 2026Article
- Research progress on intraocular lens power calculation in cataract patients with prior radial keratotomy.Frontiers in medicine · 2026Review
- Precision in Intraocular Lens Calculation for Chinese Cataract Patients with Prior History of Radial Keratotomy.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- An explainable machine learning framework for accurate prediction of postoperative anterior chamber depth in highly myopic cataract surgery.Frontiers in cell and developmental biology · 2026Article
- Challenges in Biometry and Intraocular Lens Power Calculations in Keratoconus: A Review.Diagnostics (Basel, Switzerland) · 2025Review
- Improved IOL Power Calculation With Femtosecond Laser Enhanced Refractive Outcome Prediction.Translational vision science & technology · 2025Article
- Comparative Analysis of Intraocular Lens Power Calculation Formulas (Kane, Barrett Universal II, Hill-Radial Basis Function, and Ladas Super Formula): Which One Is More Accurate?Journal of clinical medicine · 2025Article
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4 authors.
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Abstract
Purpose: To develop and evaluate a new intraocular lens (IOL) formula based on Chinese eyes. Methods: A training dataset of 709 eyes undergoing uneventful cataract surgery was used to train the algorithm for effective lens position estimation. The algorithm was then integrated with Gaussian optics to develop the new IOL formula (Jin-AI). From the same center, 177 eyes served as an internal test dataset. An independent dataset of 557 eyes served as an external test dataset. The standard deviation (SD) of prediction errors was compared among the Jin-AI formula, traditional third-generation formulas (SRK/T, Holladay 1, Hoffer Q), and newer generation formulas (Kane, Barrett Universal II [BUII], Hill-radial basis function [RBF] 3.0, and PEARL-DGS). Results: In the internal test dataset, the Jin-AI formula showed the lowest SD (0.25 D), followed by the BUII (0.31 D), Kane (0.33 D), and PEARL-DGS (0.33 D) formulas. In the external test dataset, the Jin-AI, Kane, and PEARL-DGS formulas had the lowest SD (0.38 D), followed by the BUII (0.39 D), Hill-RBF 3.0 (0.39 D), SRK/T (0.45 D), Holladay 1 (0.48 D), and Hoffer Q (0.48 D) formulas. The SD of the Jin-AI formula was significantly lower than the third-generation formulas and comparable to the four newer generation formulas. Predictive accuracy of the Jin-AI formula was similar to the newer generation formulas across all axial length, keratometry, and anterior chamber depth ranges. Conclusions: The new formula has exhibited good performance in predicting postoperative refractions. Its overall predictive accuracy was better than the third-generation formulas and comparable to the newer generation ones. Translational Relevance: The Jin-AI formula could be a reliable alternative for IOL power calculation in Chinese.
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