4.6 Article

AI-powered effective lens position prediction improves the accuracy of existing lens formulas

Related references

Note: Only part of the references are listed.
Article Ophthalmology

Prediction of Effective Lens Position Using Multiobjective Evolutionary Algorithm

Akeno Tamaoki et al.

TRANSLATIONAL VISION SCIENCE & TECHNOLOGY (2019)

Article Ophthalmology

Prediction of the true IOL position

Sverker Norrby et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2017)

Article Ophthalmology

Modified Haigis Formula Effective Lens Position Equation for Ciliary Sulcus-Implanted Intraocular Lenses

Youngsub Eom et al.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2016)

Letter Ophthalmology

The Effect of Testing Distance on Intraocular Lens Power Calculation

Michael J. Simpson et al.

JOURNAL OF REFRACTIVE SURGERY (2014)

Article Ophthalmology

Predicting the Postoperative Intraocular Lens Position Using Continuous Intraoperative Optical Coherence Tomography Measurements

Nino Hirnschall et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2013)

Article Ophthalmology

Sources of error in intraocular lens power calculation

Sverker Norrby

JOURNAL OF CATARACT AND REFRACTIVE SURGERY (2008)

Correction Ophthalmology

The Hoffer Q formula: A comparison of theoretic and regression formulas (vol 19, pg 700, 1993)

K. J. Hoffer

JOURNAL OF CATARACT AND REFRACTIVE SURGERY (2007)

Letter Ophthalmology

Errata in printed hoffer Q formula - Reply

Kenneth J. Hoffer

JOURNAL OF CATARACT AND REFRACTIVE SURGERY (2007)

Article Ophthalmology

Comparison of immersion ultrasound biometry and partial coherence interferometry for intraocular lens calculation according to Haigis

W Haigis et al.

GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY (2000)