The Application of Artificial Intelligence in the Analysis of Biomarkers for Diagnosis and Management of Uveitis and Uveal Melanoma: A Systematic Review.

Arshpreet BassiSaffire H KranceAidan A PucchioDaiana R PurRafael N Miranda Tina Felfeli

Published in: Clinical ophthalmology (Auckland, N.Z.) (2022)

This study highlights the value of using complex and simple AI tools as a clinical tool in uveal diseases. Particularly, complex AI methods can be used to weigh the merit of significant biomarkers, such as LDH, in order to create staging tools and predict treatment outcomes.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
juvenile idiopathic arthritis
lymph node
ankylosing spondylitis
pet ct
systemic lupus erythematosus
disease activity