AIMC Topic: Cataract

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Innovative utilization of ultra-wide field fundus images and deep learning algorithms for screening high-risk posterior polar cataract.

Journal of cataract and refractive surgery Jun 1, 2024
PURPOSE: To test a cataract shadow projection theory and validate it by developing a deep learning algorithm that enables automatic and stable posterior polar cataract (PPC) screening using fundus images.
Female Aged Algorithms Retrospective Studies Deep Learning Cataract Fundus Oculi Male Middle Aged Humans
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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 Diabetes Mellitus Cataract Photography Fundus Oculi Deep Learning China Diabetic Retinopathy Artificial Intelligence
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Effects of chloramphenicol, povidone-iodine 1% and 5% eye drops on the colonisation of conjunctival flora in patients undergoing cataract surgery.

Ghana medical journal Jun 1, 2023
OBJECTIVES: the aim was to compare 2 drops of either 5% chloramphenicol, 1% povidone-iodine or 5% povidone-iodine before cataract surgery on reducing the colonisation of bacterial flora in the conjunctiva.
Conjunctiva Cataract Chloramphenicol Povidone-Iodine Male Ophthalmic Solutions Humans Bacteria Female
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PhacoTrainer: Deep Learning for Cataract Surgical Videos to Track Surgical Tools.

Translational vision science & technology Mar 1, 2023
PURPOSE: The purpose of this study was to build a deep-learning model that automatically analyzes cataract surgical videos for the locations of surgical landmarks, and to derive skill-related motion metrics.
Humans Algorithms Cataract Pupil Deep Learning Cataract Extraction
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MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Semantic segmentation of surgery scenarios is a fundamental task for computer-aided surgery systems. Precise segmentation of surgical instruments and anatomies contributes to capturing accurate spatial information for tracking. However, uneven reflec...
Cataract Semantics Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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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).
Area Under Curve Cataract Artificial Intelligence China Humans
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PhacoTrainer: A Multicenter Study of Deep Learning for Activity Recognition in Cataract Surgical Videos.

Translational vision science & technology Nov 1, 2021
PURPOSE: To build and evaluate deep learning models for recognizing cataract surgical steps from whole-length surgical videos with minimal preprocessing, including identification of routine and complex steps.
Deep Learning ROC Curve Cataract Cataract Extraction Humans Neural Networks, Computer
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Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning.

Translational vision science & technology Feb 5, 2021
PURPOSE: Measurements of macular pigment optical density (MPOD) by the autofluorescence technique yield underestimations of actual values in eyes with cataract. We applied deep learning (DL) to correct this error.
Aged Deep Learning Germany Lutein Cataract Humans Macular Pigment Zeaxanthins
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Artificial Intelligence for Cataract Detection and Management.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jan 1, 2020
The rising popularity of artificial intelligence (AI) in ophthalmology is fuelled by the ever-increasing clinical "big data" that can be used for algorithm development. Cataract is one of the leading causes of visual impairment worldwide. However, co...
Humans Diagnostic Techniques, Ophthalmological Artificial Intelligence Vision Disorders Cataract Extraction Cataract
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Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks.

Journal of digital imaging Aug 1, 2019
Exposure of the lenses to direct ionizing radiation during computed tomography (CT) examinations predisposes patients to cataract formation and should be avoided when possible. Avoiding such exposure requires positioning and other maneuvers by techno...
Neural Networks, Computer Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Cataract
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