Deep-Learning-Based Analysis of Disease-Specific Structural Biomarkers on Retinal Sensitivity in Neovascular Age-Related Macular Degeneration.

Gregor S Reiter¹, Klaudia Birner¹, Johannes Schrittwieser¹, Laetitia Hinterhuber^1,2, Irene Steiner³, Markus Gumpinger¹, Simon Schürer-Waldheim¹, Hrvoje Bogunovic², Ursula Schmidt-Erfurth¹

¹Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.

²Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

³Institute of Medical Statistics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.

PubMed PMC DOI PDF

Abstract

PURPOSE: To evaluate the impact of disease-specific biomarkers on pointwise sensitivity (PWS) in patients with active neovascular age-related macular degeneration (nAMD) using two microperimetry (MP) instruments. METHODS: Participants in this prospective cross-sectional study underwent imaging with a SPECTRALIS HRA+OCT and MP with the photopic MP-3 (NIDEK) and mesopic MAIA (CenterVue). Pigment ep…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.