Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …
the largest share of visually impaired children, working-age adults (inherited retinal …
[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives
K **, J Ye - Advances in ophthalmology practice and research, 2022 - Elsevier
Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …
in medicine. The availability of digitized ocular images and substantial data have made …
TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images
The localization and segmentation of biomarkers in OCT images are critical steps in retina-
related disease diagnosis. Although fully supervised deep learning models can segment …
related disease diagnosis. Although fully supervised deep learning models can segment …
iERM: An interpretable deep learning system to classify epiretinal membrane for different optical coherence tomography devices: A multi-center analysis
Background: Epiretinal membranes (ERM) have been found to be common among
individuals> 50 years old. However, the severity grading assessment for ERM based on …
individuals> 50 years old. However, the severity grading assessment for ERM based on …
AI in the clinical management of GA: a novel therapeutic universe requires novel tools
GS Reiter, J Mai, S Riedl, K Birner, S Frank… - Progress in Retinal and …, 2024 - Elsevier
Regulatory approval of the first two therapeutic substances for the management of
geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major …
geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major …
Advances in optical coherence tomography imaging technology and techniques for choroidal and retinal disorders
Optical coherence tomography (OCT) imaging has played a pivotal role in the field of retina.
This light-based, non-invasive imaging modality provides high-quality, cross-sectional …
This light-based, non-invasive imaging modality provides high-quality, cross-sectional …
[HTML][HTML] Disease activity and therapeutic response to pegcetacoplan for geographic atrophy identified by deep learning-based analysis of OCT
Purpose To quantify morphological changes of the photoreceptors (PRs) and retinal pigment
epithelium (RPE) layers under pegcetacoplan therapy in geographic atrophy (GA) using …
epithelium (RPE) layers under pegcetacoplan therapy in geographic atrophy (GA) using …
[HTML][HTML] Necessity and importance of develo** AI in anesthesia from the perspective of clinical safety and information security
B Song, M Zhou, J Zhu - Medical Science Monitor: International …, 2023 - ncbi.nlm.nih.gov
The rapid development of artificial intelligence (AI) technology is due to the significant
progress in big data, databases, algorithms, and computing power, and medical research is …
progress in big data, databases, algorithms, and computing power, and medical research is …
Clinical validation for automated geographic atrophy monitoring on OCT under complement inhibitory treatment
Geographic atrophy (GA) represents a late stage of age-related macular degeneration,
which leads to irreversible vision loss. With the first successful therapeutic approach, namely …
which leads to irreversible vision loss. With the first successful therapeutic approach, namely …
Unleashing the power of optical attenuation coefficients to facilitate segmentation strategies in OCT imaging of age-related macular degeneration: perspective
The use of optical attenuation coefficients (OAC) in optical coherence tomography (OCT)
imaging of the retina has improved the segmentation of anatomic layers compared with …
imaging of the retina has improved the segmentation of anatomic layers compared with …