Artificial Intelligence for Personalised Ophthalmology Residency Training.

ABSTRACT: Residency training in medicine lays the foundation for future medical doctors. In real-world settings, training centers face challenges in trying to create balanced residency programs, with cases encountered by residents not always being fairly distributed among them. In recent years, there has been a tremendous advancement in developing artificial intelligence (AI)-based algorithms with human expert guidance for medical imaging segmentation, classification, and prediction. In this paper, we turned our attention from training machines to letting them train us and developed an AI framework for personalised case-based ophthalmology residency training. The framework is built on two components: (1) a deep learning (DL) model and (2) an expert-system-powered case allocation algorithm. The DL mo

SUBMITTER: Muntean GA 

PROVIDER: S-EPMC10002549 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature