AI Medical Compendium Journal:
Journal of cataract and refractive surgery

Showing 11 to 16 of 16 articles

Deep learning-based analysis of infrared fundus photography for automated diagnosis of diabetic retinopathy with cataracts.

Journal of cataract and refractive surgery Oct 1, 2023
PURPOSE: To develop deep learning-based networks for the diagnosis of diabetic retinopathy (DR) with cataracts based on infrared fundus images.
Humans Diabetic Retinopathy Artificial Intelligence Deep Learning China Diabetes Mellitus Cataract Fundus Oculi Photography
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Artificial intelligence and surgery: what's next?

Journal of cataract and refractive surgery Aug 1, 2023
Humans Artificial Intelligence Surgical Procedures, Operative
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Artificial intelligence and academic publishing.

Journal of cataract and refractive surgery Jul 1, 2023
Artificial Intelligence Publishing
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New simulation software to predict postoperative corneal stiffness before laser vision correction.

Journal of cataract and refractive surgery Jun 1, 2023
PURPOSE: To develop a new virtual surgery simulation platform to predict postoperative corneal stiffness (Kc mean ) after laser vision correction (LVC) surgery.
Humans Artificial Intelligence Software Retrospective Studies Dilatation, Pathologic Cornea Corneal Topography
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Lens Opacities Classification System III-based artificial intelligence program for automatic cataract grading.

Journal of cataract and refractive surgery May 1, 2022
PURPOSE: To establish and validate an artificial intelligence (AI)-assisted automatic cataract grading program based on the Lens Opacities Classification System III (LOCS III).
Humans Artificial Intelligence China Area Under Curve Cataract
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Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.

Journal of cataract and refractive surgery Feb 1, 2016
PURPOSE: To describe the topographic and tomographic characteristics of normal fellow eyes of unilateral keratoconus cases and to evaluate the accuracy of machine learning classifiers in discriminating healthy corneas from the normal fellow corneas.
Humans Machine Learning Retrospective Studies Female Reproducibility of Results Young Adult Adult Cornea Male Middle Aged Case-Control Studies ROC Curve Keratoconus Corneal Topography Diagnostic Techniques, Ophthalmological Photography Corneal Pachymetry
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