AIMC Topic: Cataract

Clear Filters Showing 21 to 30 of 62 articles

Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol.

BMJ open ophthalmology Jan 10, 2024
INTRODUCTION: Artificial intelligence (AI) development has led to improvements in many areas of medicine. Canada has workforce pressures in delivering cataract care. A potential solution is using AI technology that can automate care delivery, increas...
Artificial Intelligence Prospective Studies Postoperative Care Humans Cataract Feasibility Studies
View on PubMed DOI

Talking technology: exploring chatbots as a tool for cataract patient education.

Clinical & experimental optometry Jan 9, 2024
CLINICAL RELEVANCE: Worldwide, millions suffer from cataracts, which impair vision and quality of life. Cataract education improves outcomes, satisfaction, and treatment adherence. Lack of health literacy, language and cultural barriers, personal pre...
Generative Artificial Intelligence Female Cataract Extraction Aged Internet Quality of Life Male Surveys and Questionnaires Humans Comprehension Middle Aged Health Literacy Communication Cataract Artificial Intelligence Patient Education as Topic
View on PubMed DOI

The effect of optical degradation from cataract using a new Deep Learning optical coherence tomography segmentation algorithm.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Oct 16, 2023
PURPOSE: To assess the validity of the results of a freely available online Deep Learning segmentation tool and its sensitivity to noise introduced by cataract.
Tomography, Optical Coherence Cataract Algorithms Deep Learning Retina Humans
View on PubMed DOI

Customization of a passive surgical support robot to specifications for ophthalmic surgery and preliminary evaluation.

Japanese journal of ophthalmology Aug 10, 2023
PURPOSE: To customize a passive surgery support robot for ophthalmic surgery and preliminarily evaluate its performance.
Cataract Electromyography Arm Muscle, Skeletal Robotics Humans
View on PubMed DOI

Comment on 'Intelligent cataract surgery supervision and evaluation via deep learning'.

International journal of surgery (London, England) Jun 1, 2023
Cataract Deep Learning Cataract Extraction Humans
View on PubMed DOI

Development and validation of a pixel wise deep learning model to detect cataract on swept-source optical coherence tomography images.

Journal of optometry Oct 10, 2022
PURPOSE: The diagnosis of cataract is mostly clinical and there is a lack of objective and specific tool to detect and grade it automatically. The goal of this study was to develop and validate a deep learning model to detect and localize cataract on...
Cataract Lens, Crystalline ROC Curve Humans Tomography, Optical Coherence Deep Learning
View on PubMed DOI

Intelligent cataract surgery supervision and evaluation via deep learning.

International journal of surgery (London, England) Jun 25, 2022
PURPOSE: To assess the performance of a deep learning (DL) algorithm for evaluating and supervising cataract extraction using phacoemulsification with intraocular lens (IOL) implantation based on cataract surgery (CS) videos.
Cataract Phacoemulsification Deep Learning Cataract Extraction Humans Algorithms
View on PubMed DOI

Detecting visually significant cataract using retinal photograph-based deep learning.

Nature aging Feb 21, 2022
Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability or accessibility to cataract screening. In the present study, we r...
Humans Deep Learning ROC Curve Cataract Retina Algorithms Aged
View on PubMed DOI

Prediction of the axial lens position after cataract surgery using deep learning algorithms and multilinear regression.

Acta ophthalmologica Feb 6, 2022
BACKGROUND: The prediction of anatomical axial intraocular lens position (ALP) is one of the major challenges in cataract surgery. The purpose of this study was to develop and test prediction algorithms for ALP based on deep learning strategies.
Lenses, Intraocular Deep Learning Cataract Biometry Algorithms Refraction, Ocular Humans
View on PubMed DOI

DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity.

Ophthalmology Jan 3, 2022
PURPOSE: To develop deep learning models to perform automated diagnosis and quantitative classification of age-related cataract from anterior segment photographs.
Photography Humans Deep Learning Cataract Extraction Cataract
View on PubMed DOI
Popular Topics
Recent Journals