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Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System
March 29, 2024, 4:43 a.m. | Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko
cs.LG updates on arXiv.org arxiv.org
Abstract: In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macular edema (DME), as well as the retinal vein occlusion (RVO). However, in real-world settings, patients often suffer from loss of vision on time scales of years despite therapy, whereas the prediction of the visual acuity (VA) and the earliest possible detection of deterioration under real-life conditions is challenging due to heterogeneous and …
abstract age amd arxiv cs.cv cs.ir cs.lg data diseases eess.iv however life machine machine learning patient patients prediction therapy treatment type visual world
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