Adherence of studies involving artificial intelligence in the analysis of ophthalmology electronic medical records to AI-specific items from the CONSORT-AI guideline: a systematic review.

Niveditha PattathilTin-Suet Joan LeeRyan S HuangEleanor R LenaTina Felfeli

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2024)

In conclusion, we have identified that AI is prominently being used for disease prediction in ophthalmology clinics, however these algorithms are limited by their lack of generalizability and cross-center reproducibility. A standardized framework for AI reporting should be developed, to improve AI applications in the management of ocular disease and ophthalmology decision making.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
decision making
emergency department
type diabetes
metabolic syndrome
skeletal muscle
cataract surgery