Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning

Research article (Scientific Reports, 2022) · cited 27× · AI/ML
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Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning

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Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning is a scholarly article[1].

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  • Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-visual-function-from-automatically-quantified-optical-coherence-tomography-biomarkers-in-patients-with-geo
MLA “Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-visual-function-from-automatically-quantified-optical-coherence-tomography-biomarkers-in-patients-with-geo.
BibTeX @misc{4ortxyz_prediction-of-visual-function-from-automatically-quantified-optical-coherence-tomography-biomarkers-in-patients-with-geo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-visual-function-from-automatically-quantified-optical-coherence-tomography-biomarkers-in-patients-with-geo}, note = {Accessed: 2026-05-24}}
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