Selecting the Right AI Algorithm for the Job: A Guide for Navigating the AI Jungle in Ophthalmology

Abstract

Understanding how to choose the right artificial intelligence (AI) algorithm is essential for ophthalmologists to navigate the AI jungleimproving their ability to critically assess the literature, stimulate their research project, and evaluate industry-proposed tools.This article provides a practical framework to help ophthalmologists select, evaluate, and implement AI tools suited to their specific needs.Successful integration of AI in ophthalmology requires close collaboration between clinicians, data scientists, Information Technology professionals, and research methodologists.Open-source datasets are highlighted as valuable resources for ophthalmologists to benchmark algorithms, ensure reproducibility, and support local development when large annotated datasets are lacking.A decision-making checklist is proposed to guide the safe and effective adoption of AI tools, taking into account clinical relevance, validation, performance metrics, and regulatory context.

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