Artificial intelligence-based predictions in neovascular age-related macular degeneration.

ABSTRACT:

Purpose of review

Predicting treatment response and optimizing treatment regimen in patients with neovascular age-related macular degeneration (nAMD) remains challenging. Artificial intelligence-based tools have the potential to increase confidence in clinical development of new therapeutics, facilitate individual prognostic predictions, and ultimately inform treatment decisions in clinical practice.

Recent findings

To date, most advances in applying artificial intelligence to nAMD have focused on facilitating image analysis, particularly for automated segmentation, extraction, and quantification of imaging-based features from optical coherence tomography (OCT) images. No studies in our literature search evaluated whether artificial intelligence could predict the treatment r

SUBMITTER: Ferrara D 

PROVIDER: S-EPMC8373444 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature