Evaluation of an artificial intelligence-based intraocular lens calculator: AI-based IOL-optimized formula.

Purpose: To evaluate the ZEISS AI IOL Calculator (ZEISS AI) and compare its accuracy in refractive prediction to the Barrett Universal II (BUII) and Kane formulas.

Setting: Cullen Eye Institute, Baylor College of Medicine, Houston, TX.

Design: Retrospective case series.

Cone Structure Persists Beyond Margins of Short-Wavelength Autofluorescence in Choroideremia.

Purpose: We studied the relationship between structure and function of the choriocapillaris (CC), retinal pigment epithelium (RPE), and photoreceptors in patients with choroideremia (CHM).

Methods: Six CHM patients (12 eyes) and four normal subjects (six eyes) were studied with fundus-guided microperimetry, confocal and nonconfocal adaptive optics scanning laser ophthalmoscopy (AOSLO), near-infrared and color fundus photos, short wavelength fundus autofluorescence (SW-AF), and swept-source optical coherence tomography (SS-OCT) and angiography (SS-OCTA) images. Cone spacing was represented using Z-scores (standard deviations from the mean at that eccentricity).

Human foveal cone photoreceptor topography and its dependence on eye length.

We provide the first measures of foveal cone density as a function of axial length in living eyes and discuss the physical and visual implications of our findings. We used a new generation Adaptive Optics Scanning Laser Ophthalmoscope to image cones at and near the fovea in 28 eyes of 16 subjects. Cone density and other metrics were computed in units of visual angle and linear retinal units.