Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability

Develop and evaluate the performance of a deep learning model (DLM) that forecasts eyes with low future visual field (VF) variability, and study the impact of using this DLM on sample size requirements for neuroprotective trials. Retrospective cohort and simulation study. We included 1 eye per patie...

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Veröffentlicht in:	Ophthalmology. Glaucoma 2024-05, Vol.7 (3), p.222-231
Hauptverfasser:	Wang, Ruolin, Bradley, Chris, Herbert, Patrick, Hou, Kaihua, Hager, Gregory D., Breininger, Katharina, Unberath, Mathias, Ramulu, Pradeep, Yohannan, Jithin
Format:	Artikel
Sprache:	eng
Schlagworte:	Clinical trials Deep learning Glaucoma OCT Sample size
Online-Zugang:	Volltext
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