Efficacy and accuracy of artificial intelligence to overlay multimodal images from different optical instruments in patients with retinitis pigmentosa.

Shaden H YassinYiqian WangWilliam R FreemanAnna HeinkeEvan WalkerTruong NguyenDirk-Uwe G BartschCheolhong AnShyamanga Borooah

Published in: Clinical & experimental ophthalmology (2023)

AI was significantly more accurate than manual alignment in overlaying multimodal retinal imaging in RP patients and showed the potential to use AI algorithms for future multimodal clinical and research applications.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
high resolution
pain management
optical coherence tomography
newly diagnosed
ejection fraction
patient reported outcomes
convolutional neural network
mass spectrometry
risk assessment
current status
fluorescence imaging