AIMC Topic: Strabismus
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Accuracy and Readability of ChatGPT Responses to Patient-Centric Strabismus Questions.
Journal of pediatric ophthalmology and strabismus
Feb 19, 2025
PURPOSE: To assess the medical accuracy and readability of responses provided by ChatGPT (OpenAI), the most widely used artificial intelligence-powered chatbot, regarding questions about strabismus.
High-Accuracy Intermittent Strabismus Screening via Wearable Eye-Tracking and AI-Enhanced Ocular Feature Analysis.
Biosensors
Feb 14, 2025
An effective and highly accurate strabismus screening method is expected to identify potential patients and provide timely treatment to prevent further deterioration, such as amblyopia and even permanent vision loss. To satisfy this need, this work s...
Automated strabismus detection and classification using deep learning analysis of facial images.
Scientific reports
Jan 31, 2025
Strabismus, or eye misalignment, is a common condition affecting individuals of all ages. Early detection and accurate classification are essential for proper treatment and avoiding long-term complications. This research presents a new deep-learning-...
Integrating artificial intelligence in strabismus management: current research landscape and future directions.
Experimental biology and medicine (Maywood, N.J.)
Nov 25, 2024
Advancements in artificial intelligence (AI) are transforming strabismus management through improved screening, diagnosis, and surgical planning. Deep learning has notably enhanced diagnostic accuracy and optimized surgical outcomes. Despite these ad...
Chatbots talk Strabismus: Can AI become the new patient Educator?
International journal of medical informatics
Aug 16, 2024
BACKGROUND: Strabismus is a common eye condition affecting both children and adults. Effective patient education is crucial for informed decision-making, but traditional methods often lack accessibility and engagement. Chatbots powered by AI have eme...
Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.
JAMA network open
Aug 1, 2024
IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess chi...
An artificial intelligence platform for the screening and managing of strabismus.
Eye (London, England)
Jul 27, 2024
OBJECTIVES: Considering the escalating incidence of strabismus and its consequential jeopardy to binocular vision, there is an imperative demand for expeditious and precise screening methods. This study was to develop an artificial intelligence (AI) ...
Automated detection of steps in videos of strabismus surgery using deep learning.
BMC ophthalmology
Jun 10, 2024
BACKGROUND: Learning to perform strabismus surgery is an essential aspect of ophthalmologists' surgical training. Automated classification strategy for surgical steps can improve the effectiveness of training curricula and the efficient evaluation of...
Enhancing automated strabismus classification with limited data: Data augmentation using StyleGAN2-ADA.
PloS one
May 24, 2024
In this study, we propose a generative data augmentation technique to overcome the challenges of severely limited data when designing a deep learning-based automated strabismus diagnosis system. We implement a generative model based on the StyleGAN2-...
A new method based on deep learning and image processing for detection of strabismus with the Hirschberg test.
Photodiagnosis and photodynamic therapy
Sep 22, 2023
Strabismus is a condition in which one or both eyes do not work in parallel or in harmony. People with strabismus have one eye looking straight ahead while the other eye looks inwards, outwards, upwards or downwards. This condition can affect both ey...
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