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Revolutionizing personalized medicine with generative AI: a systematic review
Background Precision medicine, targeting treatments to individual genetic and clinical
profiles, faces challenges in data collection, costs, and privacy. Generative AI offers a …
profiles, faces challenges in data collection, costs, and privacy. Generative AI offers a …
Artificial intelligence in age-related macular degeneration: State of the art and recent updates
Age related macular degeneration (AMD) represents a leading cause of vision loss and it is
expected to affect 288 million people by 2040. During the last decade, machine learning …
expected to affect 288 million people by 2040. During the last decade, machine learning …
Novel approaches for early detection of retinal diseases using artificial intelligence
Background: An increasing amount of people are globally affected by retinal diseases, such
as diabetes, vascular occlusions, maculopathy, alterations of systemic circulation, and …
as diabetes, vascular occlusions, maculopathy, alterations of systemic circulation, and …
[HTML][HTML] Artificial intelligence for Retinal Diseases
Purpose To discuss the worldwide applications and potential impact of artificial intelligence
(AI) for the diagnosis, management and analysis of treatment outcomes of common retinal …
(AI) for the diagnosis, management and analysis of treatment outcomes of common retinal …
Deep Learning in Neovascular Age-Related Macular Degeneration
Background and objectives: Age-related macular degeneration (AMD) is a complex and
multifactorial condition that can lead to permanent vision loss once it progresses to the …
multifactorial condition that can lead to permanent vision loss once it progresses to the …
Enhancing the automated detection of implantable collamer lens vault using generative adversarial networks and synthetic data on optical coherence tomography
Purpose: To investigate the efficacy of incorporating Generative Adversarial Network (GAN)
and synthetic images in enhancing the performance of a convolutional neural network …
and synthetic images in enhancing the performance of a convolutional neural network …
[HTML][HTML] Long-Term Follow-Up of Brolucizumab in Macular Neovascularization
ML Ruggeri, L Toto, R D'Aloisio, A Quarta, R Aloia… - Ophthalmic …, 2023 - karger.com
Introduction: The aim of the study was to evaluate functional and anatomical changes in type
1 and type 2 naïve macular neovascularization (MNV) patients treated with brolucizumab …
1 and type 2 naïve macular neovascularization (MNV) patients treated with brolucizumab …
[HTML][HTML] Discriminative, generative artificial intelligence, and foundation models in retina imaging
P Ruamviboonsuk, N Arjkongharn… - Taiwan Journal of …, 2024 - journals.lww.com
Recent advances of artificial intelligence (AI) in retinal imaging found its application in two
major categories: discriminative and generative AI. For discriminative tasks, conventional …
major categories: discriminative and generative AI. For discriminative tasks, conventional …
[HTML][HTML] Application of Artificial Intelligence Models to Predict the Onset or Recurrence of Neovascular Age-Related Macular Degeneration
Neovascular age-related macular degeneration (nAMD) is one of the major causes of vision
impairment that affect millions of people worldwide. Early detection of nAMD is crucial …
impairment that affect millions of people worldwide. Early detection of nAMD is crucial …
To Treat or Not to Treat? Resolving the Question of Subretinal and Intraretinal Fluid in Age-Related Macular Degeneration: A Narrative Review
Neovascular age-related macular degeneration (nAMD) is associated with considerable
quality of life and economic burden. nAMD is characterized by pathological …
quality of life and economic burden. nAMD is characterized by pathological …