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It may serve as a performance outcome measure in emerging interventional clinical trials for macular diseases as requested by regulatory agencies. As FCP constitute laborious examinations, we have evaluated a machine-learning-based approach to predict spatially-resolved retinal function (\u2019inferred sensitivity\u2019) based on microstructural imaging (obtained by spectral domain optical coherence tomography) and patient data in recessive Stargardt disease. Using nested cross-validation, prediction accuracies of (mean absolute error, MAE [95% CI]) 4.74\u00a0dB [4.48\u20134.99] were achieved. After additional inclusion of limited FCP data, the latter reached 3.89\u00a0dB [3.67\u20134.10] comparable to the test\u2013retest MAE estimate of 3.51\u00a0dB [3.11\u20133.91]. Analysis of the permutation importance revealed, that the IS&amp;OS and RPE thickness were the most important features for the prediction of retinal sensitivity. \u2019Inferred sensitivity\u2019, herein, enables to accurately estimate differential effects of retinal microstructure on spatially-resolved function in Stargardt disease, and might be used as quasi-functional surrogate marker for a refined and time-efficient investigation of possible functionally relevant treatment effects or disease progression.<\/jats:p>","DOI":"10.1038\/s41598-020-80766-4","type":"journal-article","created":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T11:03:13Z","timestamp":1610622193000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Inferred retinal sensitivity in recessive Stargardt disease using machine learning"],"prefix":"10.1038","volume":"11","author":[{"given":"Philipp L.","family":"M\u00fcller","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandru","family":"Odainic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tim","family":"Treis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philipp","family":"Herrmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adnan","family":"Tufail","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank G.","family":"Holz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilian","family":"Pfau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,14]]},"reference":[{"key":"80766_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1750-1172-2-7","volume":"2","author":"CP Hamel","year":"2007","unstructured":"Hamel, C. 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