Comparison of Formula-Specific Factors and Artificial Intelligence Formulas with Axial Length Adjustments in Bilateral Cataract Patients with Long Axial Length

Li, Chuang; Wang, Mingwei; Feng, Rui; Liang, Feiyan; Liu, Xialin; Fan, Shuxin

doi:10.1007/s40123-022-00551-6

Cited by 9 publications

(3 citation statements)

References 36 publications

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“…Formula-specific adjustments, constant factors, and biometric measurements have been used as optimization methods for the second eye. Li et al showed that the PEARL-DGS and BUII with formula-specific correction factors improved second-eye refractive outcomes in patients with long AL [15]. Refining the second-eye PEARL-DGS formula with a CF of 50% of the MAE of the first eye also positively impacted the refractive precision in short hyperopic eyes [16].…”

Section: Discussionmentioning

confidence: 99%

Using the First-Eye Back-Calculated Effective Lens Position to Improve Refractive Outcome of the Second Eye

Mechleb

Debellemanière

Gauvin

et al. 2022

JCM

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The present study is a retrospective, monocentric case series that aims to compare the second-eye IOL power calculation precision using the back-calculated lens position (LP) as a lens position predictor versus using a predetermined correction factor (CF) for thin- and thick-lens IOL calculation formulas. A set of 878 eyes from 439 patients implanted with Finevision IOLs (BVI PhysIOL, Liège, Belgium) with both operated eyes was used as a training set to create Haigis-LP and PEARL-LP formulas, using the back-calculated lens position of the contralateral eye as an effective lens position (ELP) predictor. Haigis-CF, Barrett-CF, and PEARL-CF formulas using an optimized correction factor based on the prediction error of the first eye were also designed. A different set of 1500 eyes from 1500 patients operated in the same center was used to compare the basal and enhanced formula performances. The IOL power calculation for the second eye was significantly enhanced by adapting the formulas using the back-calculated ELP of the first eye or by using a correction factor based on the prediction error of the first eye, the latter giving slightly higher precision. A decrease in the mean absolute error of 0.043 D was observed between the basal PEARL and the PEARL-CF formula (p < 0.001). The optimal correction factor was close to 60% of the first-eye prediction error for every formula. A fixed correction factor of 60% of the postoperative refractive error of the first operated eye improves the second-eye refractive outcome better than the methods based on the first eye’s effective lens position back-calculation. A significant interocular biometric dissimilarity precludes the enhancement of the second-eye IOL power calculation according to the first-eye results.

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Section: Discussionmentioning

confidence: 99%

Using the First-Eye Back-Calculated Effective Lens Position to Improve Refractive Outcome of the Second Eye

Mechleb

Debellemanière

Gauvin

et al. 2022

JCM

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show abstract

“…In a study comparing the Hill-Radial Basis Function 2.0 formula to the Barrett Universal II formula and the SRK/T formula, the Hill-Radial Basis Function 2.0 formula had similar accuracy to the other formulas [29]. In another study comparing to other artificial intelligence-based formulas, including the Kane and PEARL-DGS formulas, the Hill-Radial Basis Function 2.0 formula had similar or better accuracy than the other formulas [30]. The Hill-Radial Basis Function 2.0 formula has been accurate in eyes undergoing manual or femtosecond laser-assisted cataract surgery.…”

Section: Radial Basis Function 20mentioning

confidence: 99%

Evolution of Biometric Formulas and Intraocular Lens Selection in Challenging Cases

Karataş,

Aslı Utine

2023

Cataract - An Update on Clinical and Surgical Management

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Various novel intraocular lens (IOL) power calculation formulas have been described to increase refractive precision following cataract surgery. These include the Barrett Universal II, Emmetropia Verifying Optical (EVO), Kane, Naeser 2, Olsen, Panacea, Pearl DGS, Radial Basis Function (RBF), T2, and VRF formulas. With a few notable exceptions, historical and regression formulas—first- and second-generation IOL formulas like Sanders, Retzlaff, Kraff (SRK), Binkhorst, Hoffer, and SRKII—are generally regarded as outdated. The effective lens position (ELP) is accounted for in third- and fourth-generation formulas which include more biometric data. A possible alternative that has shown to be remarkably accurate when used with the Olsen method is ray tracing. Artificial intelligence-derived IOL formulas are becoming increasingly common and may yield better lens power prediction accuracy. Despite improvements in surgical technique, biometry measurements, and IOL calculations, some clinical circumstances continue to challenge cataract surgeons to determine the appropriate IOL power. These unique situations include pediatric eyes, post-refractive eyes, and corneal ectasias. The obstacles to reliability include unrepeatable measurements and inaccurate biometry examinations. Researchers have tried to identify the most accurate IOL estimations for these challenging clinical scenarios to overcome these obstacles.

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“…After increasing the cam lift, it is necessary to adjust the height of the fuel injection pump cylinder assembly in the following ways to increase the pre-stroke, thus increasing the effective fuel delivery. The actual design intention is to adjust the height of the cylinder assembly of the fuel injection pump to increase the pre-passage, so that the effective fuel supply can run at high speed [9][10].…”

Section: Calculation and Analysis Of Changing Cam Design Parametersmentioning

confidence: 99%

Optimization Design of Injection Pump Cam of Single Cylinder Direct Injection Diesel Engine Combined with Artificial Intelligence Algorithm

2022

KME

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Most models of low-power off-road diesel engines in China are single-cylinder diesel engines. The production, use and export of single-cylinder diesel engines are one of the characteristics of internal combustion engine industry in China. As the emission standards of off-road diesel engines are becoming stricter in China, it is of academic significance and engineering application value to study the low emission mechanism and optimization of low emission technical scheme of single-cylinder diesel engines. The purpose of this paper is to study the optimal design of injection pump cam of single cylinder direct injection diesel engine combined with artificial intelligence algorithm. The problems existing in the fuel injection system of domestic large bore single cylinder diesel engine are analyzed. The measures to improve the injection pressure of single cylinder engine are put forward. The basic principle and method of oil pump cam design are given. The artificial intelligence technology is used to simulate and model the new oil pump cam. According to the calculation, the cam design of single-cylinder engine fuel injection pump has its own characteristics. In the design, not only the general technology of the cam design of fuel injection pump, but also the special requirements of the installation and adjustment of single-cylinder engine should be considered to meet the needs of the overall layout of diesel engine. Based on the optimization scheme, the influence of key parameters changes on diesel engine emissions in the simulated production process is studied. The calculation results show that in order to ensure the effective control of emissions, performance and production consistency, it is necessary to reduce the change range of key parameters in the production process. The calculation and analysis show that the fuel supply advance angle, compression clearance and injector extension height are controlled within ±0.5°CA, ±0.08mm and ±0.1mm respectively. The increase percentage of NOx emission is within 9.8%, and the increase percentage of Soot emission is within 8.4%. The calculation results can guide the control of parameters and dimensional tolerance of parts in diesel engine production.

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Comparison of Formula-Specific Factors and Artificial Intelligence Formulas with Axial Length Adjustments in Bilateral Cataract Patients with Long Axial Length

Cited by 9 publications

References 36 publications

Using the First-Eye Back-Calculated Effective Lens Position to Improve Refractive Outcome of the Second Eye

Using the First-Eye Back-Calculated Effective Lens Position to Improve Refractive Outcome of the Second Eye

Evolution of Biometric Formulas and Intraocular Lens Selection in Challenging Cases

Optimization Design of Injection Pump Cam of Single Cylinder Direct Injection Diesel Engine Combined with Artificial Intelligence Algorithm

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