The rise of artificial intelligence (AI) has brought breakthroughs in many areas of medicine.
In ophthalmology, AI has delivered robust results in the screening and detection of diabetic …

Purpose The proper choice of an intraocular lens (IOL) power calculation formula is an
important aspect of phacoemulsification. In this study, the formulas most commonly used …

Purpose: To analyze the accuracy of newer intraocular lens power formulas in long and
short eyes measured using the sum-of-segments biometry. Setting: Private practice …

Purpose: To scrutinize the accuracy of 24 intraocular lens (IOL) power calculation formulas
in unoperated eyes. Methods: In a series of consecutive patients undergoing …

PURPOSE To provide a simplified method to optimize lens constants to zero the mean
prediction error (ME) of an intraocular lens (IOL) calculation formula, without the need to …

AI-applications have vast potential to meet many eyecare needs, consequently reducing
burden on scarce healthcare resources. A pertinent challenge would be to maintain data …

Artificial intelligence (AI) technology is promising in the field of healthcare. With the
developments of big data and image-based analysis, AI shows potential value in …

Purpose This study aimed to explore the concept of total keratometry (TK) by analyzing
extensive international datasets representing diverse ethnic backgrounds. The primary …

Background The precision of refractive outcomes after uneventful cataract surgery largely
depends on the biometry and intraocular lens (IOL) formula used for selecting the IOL. To …

This study evaluated the accuracy of newer formulas (Barrett Universal II, EVO 2.0, Kane,
Hoffer QST, and PEARL-DGS) and the Haigis formula in Korean patients with the Alcon …