AIMC Topic: Eye Diseases
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Enhancing Interpretability of Ocular Disease Diagnosis: A Zero-Shot Study of Multimodal Large Language Models.
Studies in health technology and informatics
Aug 7, 2025
Visual foundation models have advanced ocular disease diagnosis, yet providing interpretable explanations remains challenging. We evaluate multimodal LLMs for generating explanations of ocular diagnoses, combining Vision Transformer-derived saliency ...
An Approach to Predict Intraocular Diseases by Machine Learning Based on Vitreous Humor Immune Mediator Profile.
Investigative ophthalmology & visual science
Mar 3, 2025
PURPOSE: This study aimed to elucidate whether machine learning algorithms applied to vitreous levels of immune mediators predict the diagnosis of 12 representative intraocular diseases, and identify immune mediators driving the predictive power of m...
[Vigorously advancing the application of AI in the diagnosis and treatment of ocular surface and tear diseases].
[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Feb 14, 2025
Ocular surface and tear diseases are among the most common and significant ocular conditions affecting eye health. In recent years, research and clinical diagnosis and treatment of ocular surface and tear diseases have rapidly developed in China, but...
Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India. In this regard, during the COVID-19 pandemic, teleophthalmology became a lifeline, and the Grabi attachment for smartphone-base...
[Challenges and prospects in the application of artificial intelligence for ocular disease screening and diagnosis].
[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Jun 11, 2024
In recent years, artificial intelligence (AI) technologies have experienced substantial growth across various sectors, with significant strides made particularly in medical AI through advancements such as large models. The application of AI within th...
AUTOMATED DETECTION OF VITRITIS USING ULTRAWIDE-FIELD FUNDUS PHOTOGRAPHS AND DEEP LEARNING.
Retina (Philadelphia, Pa.)
Jun 1, 2024
BACKGROUND/PURPOSE: Evaluate the performance of a deep learning algorithm for the automated detection and grading of vitritis on ultrawide-field imaging.
An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study.
Current medical imaging
Jan 1, 2024
BACKGROUND: Early disease detection is emphasized within ophthalmology now more than ever, and as a result, clinicians and innovators turn to deep learning to expedite accurate diagnosis and mitigate treatment delay. Efforts concentrate on the creati...
Artificial Intelligence-based database for prediction of protein structure and their alterations in ocular diseases.
Database : the journal of biological databases and curation
Dec 18, 2023
The aim of the study is to establish an online database for predicting protein structures altered in ocular diseases by Alphafold2 and RoseTTAFold algorithms. Totally, 726 genes of multiple ocular diseases were collected for protein structure predict...
Modelling and Development of a Mechanical Eye for the Evaluation of Robotic Systems for Surgery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Ophthalmic surgery, which addresses critical eye diseases such as retinal disorders, remains a formidable and arduous surgical pursuit. Nevertheless, with the advent of cutting-edge robotics and automation technology, significant advancement has been...
[Challenges of artificial intelligence used for eye disease screening in recent China communities].
[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Oct 11, 2022
Due to factors such as medical resources, public awareness, funding for general screening, or optimized screening models, community-based screening is far from meeting the demand. Artificial intelligence (AI) can replace some of the medical work and ...
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