AI Medical Compendium Topic

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Lens, Crystalline

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Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

International journal of medical sciences
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiological and genetic similarities to humans The objective of this study was to identify genes involved in cataractogenesis due to galactose exposure in ...

Exploring Artificial Intelligence Programs' Understanding of Lens, Cataract, and Refractive Surgery Information.

Middle East African journal of ophthalmology
PURPOSE: We aimed to evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT), Bing, and Bard artificial intelligence programs, which were released free of charge by three different manufacturers, in correctly answering questions abo...

Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records.

American journal of ophthalmology
PURPOSE: Nearly all published ophthalmology-related Big Data studies rely exclusively on International Classification of Diseases (ICD) billing codes to identify patients with particular ocular conditions. However, inaccurate or nonspecific codes may...

LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality.

Nature communications
Age is closely related to human health and disease risks. However, chronologically defined age often disagrees with biological age, primarily due to genetic and environmental variables. Identifying effective indicators for biological age in clinical ...

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

Journal of optometry
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...

Development of a code-free machine learning model for the classification of cataract surgery phases.

Scientific reports
This study assessed the performance of automated machine learning (AutoML) in classifying cataract surgery phases from surgical videos. Two ophthalmology trainees without coding experience designed a deep learning model in Google Cloud AutoML Video C...

Tunable Soft Lens of Large Focal Length Change.

Soft robotics
Tunable lens technology inspired by the human eye has opened a new paradigm of smart optical devices for a variety of applications due to unique characteristics such as lightweight, low cost, and facile fabrication over conventional lens assemblies. ...

ACCV: automatic classification algorithm of cataract video based on deep learning.

Biomedical engineering online
PURPOSE: A real-time automatic cataract-grading algorithm based on cataract video is proposed.

Deep Learning Model for Accurate Automatic Determination of Phakic Status in Pediatric and Adult Ultrasound Biomicroscopy Images.

Translational vision science & technology
PURPOSE: Ultrasound biomicroscopy (UBM) is a noninvasive method for assessing anterior segment anatomy. Previous studies were prone to intergrader variability, lacked assessment of the lens-iris diaphragm, and excluded pediatric subjects. Lens status...

High vacuum and aspiration on phacoemulsification efficiency and chatter for Centurion.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
OBJECTIVE: To compare relative efficiency and chatter of high aspiration and vacuum settings.