Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology.

Daniele VerittiLeopoldo RubinatoValentina SaraoAxel De NardinGian Luca ForestiPaolo Lanzetta

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

Solutions to address these issues include collecting high-quality data of the target population, incorporating stronger security measures, using explainable AI algorithms and ensemble methods, and making AI-based solutions accessible to everyone. With careful oversight and regulation, AI-based systems can be used to supplement physician decision-making and improve patient care and outcomes.

Keyphrases

artificial intelligence
decision making
machine learning
big data

deep learning
primary care
emergency department
electronic health record

convolutional neural network
metabolic syndrome
public health

skeletal muscle
insulin resistance
sleep apnea