AIMC Topic: Pseudophakia

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Accuracy assessment of artificial intelligence IOL calculation formulae: utilizing the heteroscedastic statistics and the Eyetemis Analysis Tool.

Eye (London, England) Sep 25, 2024
OBJECTIVES: To analyse the accuracy of artificial intelligence (AI)-driven intraocular (IOL) calculation formulae, together with established formulae using the heteroscedastic methodology and the Eyetemis Analysis Tool.
Humans Visual Acuity Phacoemulsification Refraction, Ocular Lenses, Intraocular Aged Aged, 80 and over Male Middle Aged Artificial Intelligence Pseudophakia Retrospective Studies Lens Implantation, Intraocular Female Biometry Reproducibility of Results Optics and Photonics
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Development of "Predict ME," an online classifier to aid in differentiating diabetic macular edema from pseudophakic macular edema.

European journal of ophthalmology Jul 10, 2019
PURPOSE: Differentiating the underlying pathology of macular edema in patients with diabetic retinopathy following cataract surgery can be challenging. In 2015, Munk and colleagues trained and tested a machine learning classifier which uses optical c...
Macular Edema Pseudophakia Female Diabetic Retinopathy Male Aged Humans Machine Learning Tomography, Optical Coherence
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Predicting intraocular lens tilt using a machine learning concept.

Journal of cataract and refractive surgery Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Phacoemulsification Biometry Visual Acuity Tomography, Optical Coherence Artificial Lens Implant Migration Pseudophakia Lens Implantation, Intraocular Male Middle Aged Refraction, Ocular Lenses, Intraocular Female Humans Aged Machine Learning Prospective Studies
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OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS.

Retina (Philadelphia, Pa.) Dec 1, 2019
PURPOSE: In diabetic patients presenting with macular edema (ME) shortly after cataract surgery, identifying the underlying pathology can be challenging and influence management. Our aim was to develop a simple clinical classifier able to confirm a d...
Humans Middle Aged Subretinal Fluid Diabetic Retinopathy Retrospective Studies Diagnosis, Computer-Assisted Pseudophakia Machine Learning Macular Edema Female Sensitivity and Specificity Visual Acuity Biomarkers Area Under Curve Fluorescein Angiography Reproducibility of Results Predictive Value of Tests Tomography, Optical Coherence Male Aged
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