AIMC Journal:
International journal of retina and vitreous

Showing 1 to 10 of 10 articles

Large language model based simplification of ophthalmological clinical and ancillary results for patient readability.

International journal of retina and vitreous Jul 8, 2026
BACKGROUND: Ophthalmological reports are often written at a complexity level that exceeds the reading ability of many patients. Large language models (LLMs) may help simplify these texts, but their performance depends on prompt design and must preser...
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Automated diabetic retinopathy grading and screening using deep learning.

International journal of retina and vitreous Jun 30, 2026
PURPOSE: To develop and benchmark a unified Deep Learning (DL) pipeline for automated detection and five-level grading of Diabetic Retinopathy (DR), and to derive a high-performance binary screening endpoint (DR vs No DR) suitable for scalable use in...
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Code-free automated machine learning for OCT-based classification of vitreoretinal interface diseases.

International journal of retina and vitreous Jun 8, 2026
BACKGROUND: Differentiation of vitreoretinal interface disorders on optical coherence tomography (OCT) relies on expert interpretation and can be challenging in borderline cases. Automated machine learning (AutoML) platforms may enable clinician-driv...
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Utility of artificial intelligence for the diagnosis, prognosis, and management of central serous chorioretinopathy: a narrative review.

International journal of retina and vitreous May 28, 2026
Central serous chorioretinopathy (CSC) represents a significant cause of visual impairment, particularly in working-age individuals. Despite advances in multimodal imaging and evidence supporting photodynamic therapy (PDT) as the mainstay of chronic ...
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Artificial intelligence and neurodegeneration: state of the art and explainability.

International journal of retina and vitreous May 19, 2026
BACKGROUND: Alzheimer disease (AD) and Parkinson disease (PD) are an increasing healthcare concern and growing cause of disability in our century. The advent of the artificial intelligence (AI) era and the early changes in retina and optic nerve morp...
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Microaneurysm segmentation under out-of-domain generalization: from diabetic retinopathy to leukemic retinopathy.

International journal of retina and vitreous May 16, 2026
PURPOSE: To propose inter-disease out-of-domain generalization (OODG) across retinal diseases for microaneurysm (MA) segmentation using a deep-learning model trained and validated on diabetic retinopathy (DR) and qualitatively evaluated on leukemic r...
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Exploratory study on a novel automatic quantification software by artificial intelligence for geographic atrophy associated to age-related macular degeneration.

International journal of retina and vitreous Apr 30, 2026
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Artificial intelligence in retinal care: transforming the doctor-patient partnership.

International journal of retina and vitreous Mar 30, 2026
BACKGROUND: The integration of artificial intelligence into retinal practice represents more than a technological advancement; it constitutes an anthropological shift fundamentally redefining the centuries-old therapeutic partnership between physicia...
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Mixed reality headset in vitreoretinal surgical teaching: a newly defined tele-mentoring model.

International journal of retina and vitreous Mar 14, 2026
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Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population.

International journal of retina and vitreous Jul 6, 2025
OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI)-based fluid monitoring tool in optimizing the monitoring of neovascular age-related macular degeneration (nAMD) patients in a Brazilian cohort.
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