Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.

Aidan A Pucchio Saffire H KranceDaiana R PurJasmine BhattiArshpreet BassiKarthik ManichavaganShaily BrahmbhattIshita AggarwalPriyanka SinghAleena ViraniMeagan StanleyRafael N Miranda Tina Felfeli

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2023)

AI analysis of biofluid markers displayed diagnostic accuracy, provided insight into mechanisms of molecular etiologies, and had the ability to provide individualized targeted therapeutic treatment for patients. Given the progression of AI towards use in both research and the clinic, ophthalmologists should be broadly aware of the commonly used algorithms and their applications. Future research may be aimed at validating algorithms and integrating them in clinical practice.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
clinical practice
end stage renal disease
ejection fraction
newly diagnosed
primary care
chronic kidney disease
prognostic factors
cancer therapy
single molecule
drug delivery
combination therapy
patient reported