HIGHLIGHTS
- who: Kemar E. Green from the University College London, United Kingdom have published the research work: aEYE: A deep learning system for video nystagmus detection, in the Journal: (JOURNAL)
- what: The aim of this experiment is to determine if aEYE's performance can be improved by changing the voting method to identify consecutive filtered images bearing a probability of nystagmus.
- how: The authors developed trained and validated an artificial_intelligence (AI)-based deep learning model (aEYE) directly from video recordings and investigated its utility as a potential screening tool for video nystagmus detection in . . .
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