Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes.

IF 3.4 3区 生物学 Q1 BIOLOGY Life-Basel Pub Date : 2025-01-01 DOI:10.3390/life15010045
Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski
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Abstract

Purpose: 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. Methods: 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. Inclusion criteria, i.e., complete biometric and refractive data, were applied. Exclusion criteria were as follows: intraoperative or postoperative complications, previous eye surgery or corneal diseases, postoperative BCVA less than 0.8, and corneal astigmatism greater than 2.0 D. Prior to phacoemulsification, IOL power was computed using SRK/T, Holladay1, Haigis, Holladay 2, and Hoffer Q. The refraction was measured three months after cataract surgery. Post-surgery intraocular lens calculations for Hill-RBF 3.0, Kane, PEARL-DGS, Ladas Super Formula AI (LSF AI), Hoffer QST, Karmona, and Nallasamy were performed. RMSAE, MedAE, and the percentage of eyes with a PE within ±0.25 D, ±0.50 D, ±0.75 D, and ±1.00 were counted. Results: Two hundred fourteen eyes with axial lengths ranging from 24.50 mm to 25.97 mm were tested. The Hill-RBF 3.0 formula yielded the lowest RMSAE (0.368), just before Pearl-DGS (0.374) and Hoffer QST (0.378). The lowest MedAE was achieved by Hill-RBF 3.0 (0.200), the second-lowest by LSF AI (0.210), and the third-lowest by Kane (0.228). The highest percentage of eyes with a PE within ±0.50 D was obtained by Hill-RBF 3.0, LSF AI, and Pearl-DGS (86.45%, 85.51%, and 85.05%, respectively). Conclusions: The Hill-RBF 3.0 formula provided highly accurate outcomes in medium-long eyes. All studied AI-based formulas yielded good results in IOL power calculation.

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基于人工智能的白种人中长眼人工晶状体度数计算公式的预测。
目的:比较7种基于人工智能(AI)的人工晶状体(IOL)度数计算公式在中长白种人眼的均方根绝对误差(RMSAE)、中位绝对误差(MedAE)和预测误差在±0.5 d内的眼的百分比(PE)的准确性。回顾了2018年5月至2023年9月期间在波兰克拉科夫MW-Med眼科中心和乌克兰基辅临床眼科医院眼科显微外科中心接受平稳超声乳化手术的高加索患者的数据。纳入标准,即完整的生物特征和屈光数据,被应用。排除标准:术中或术后并发症,既往眼部手术或角膜疾病,术后BCVA小于0.8,角膜散光大于2.0 d。超声乳化术前采用SRK/T、Holladay1、Haigis、Holladay 2、Hoffer q计算IOL度数,术后3个月测屈光度。术后进行Hill-RBF 3.0、Kane、PEARL-DGS、Ladas Super Formula AI (LSF AI)、Hoffer QST、Karmona和Nallasamy人工晶状体计算。计算RMSAE、MedAE以及PE在±0.25 D、±0.50 D、±0.75 D和±1.00范围内的眼的百分比。结果:检测了214只眼,眼轴长度从24.50 mm到25.97 mm不等。Hill-RBF 3.0公式的RMSAE最低(0.368),仅次于Pearl-DGS(0.374)和Hoffer QST(0.378)。最低的是Hill-RBF 3.0(0.200),第二低的是LSF AI(0.210),第三低的是Kane(0.228)。Hill-RBF 3.0、LSF AI和Pearl-DGS的PE在±0.50 D内的比例最高(分别为86.45%、85.51%和85.05%)。结论:Hill-RBF 3.0公式对中长眼具有较高的准确度。所研究的人工智能公式在人工晶状体度数计算中均取得了较好的结果。
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来源期刊
Life-Basel
Life-Basel Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
4.30
自引率
6.20%
发文量
1798
审稿时长
11 weeks
期刊介绍: Life (ISSN 2075-1729) is an international, peer-reviewed open access journal of scientific studies related to fundamental themes in Life Sciences, especially those concerned with the origins of life and evolution of biosystems. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers.
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