AIMC Topic: Cataract Extraction

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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...
Surveys and Questionnaires Generative Artificial Intelligence Cataract Extraction Middle Aged Quality of Life Internet Comprehension Health Literacy Cataract Patient Education as Topic Artificial Intelligence Female Communication Male Aged Humans
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Comment on 'Intelligent cataract surgery supervision and evaluation via deep learning'.

International journal of surgery (London, England) Jun 1, 2023
Cataract Cataract Extraction Humans Deep Learning
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TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.

International journal of computer assisted radiology and surgery Mar 22, 2023
PURPOSE: Automatic recognition of surgical activities from intraoperative surgical videos is crucial for developing intelligent support systems for computer-assisted interventions. Current state-of-the-art recognition methods are based on deep learni...
Neural Networks, Computer Algorithms Cataract Extraction Humans
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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.
Deep Learning Cataract Extraction Cataract Humans Algorithms Phacoemulsification
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Development of a code-free machine learning model for the classification of cataract surgery phases.

Scientific reports Feb 14, 2022
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...
Machine Learning Deep Learning Ophthalmology Lens, Crystalline Cataract Extraction Humans
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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.
Cataract Photography Deep Learning Cataract Extraction Humans
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Dehaze of Cataractous Retinal Images Using an Unpaired Generative Adversarial Network.

IEEE journal of biomedical and health informatics Dec 4, 2020
Cataracts are the leading cause of visual impairment worldwide. Examination of the retina through cataracts using a fundus camera is challenging and error-prone due to degraded image quality. We sought to develop an algorithm to dehaze such images to...
Humans Algorithms Female Neural Networks, Computer Image Processing, Computer-Assisted Male Aged Cataract Extraction Retina Cataract Middle Aged Aged, 80 and over Deep Learning
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Customised Selection of the Haptic Design in C-Loop Intraocular Lenses Based on Deep Learning.

Annals of biomedical engineering Oct 9, 2020
In order to increase the probability of having a successful cataract post-surgery, the customisation of the haptic design of the intraocular lens (IOL) according to the characteristics of the patient is recommended. In this study, we present two pred...
Finite Element Analysis User-Computer Interface Cataract Extraction Prosthesis Design Lenses, Intraocular Deep Learning Humans Biomechanical Phenomena
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Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.

PloS one Apr 9, 2020
Wrong-site surgeries can occur due to the absence of an appropriate surgical time-out. However, during a time-out, surgical participants are unable to review the patient's charts due to their aseptic hands. To improve the conditions in surgical time-...
Deep Learning Pilot Projects Humans Cataract Cataract Extraction Speech Electronic Health Records Medical Errors Cell Phone
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Assisted phase and step annotation for surgical videos.

International journal of computer assisted radiology and surgery Feb 10, 2020
PURPOSE: Annotation of surgical videos is a time-consuming task which requires specific knowledge. In this paper, we present and evaluate a deep learning-based method that includes pre-annotation of the phases and steps in surgical videos and user as...
Software Algorithms Deep Learning Humans Neural Networks, Computer Cataract Extraction Cholecystectomy Workflow
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