Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization

This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology Recent findings Open datasets, efficient labeling techniques, code-free automated machine learning (AutoML) and cloud-based platforms for deployment are resources that enable clinicians with scarce resources to drive their own AI projects. Summary Clinicians are the use-case experts who are best suited to drive AI projects tackling patient-relevant outcome measures. Taken together, open datasets, efficient labeling techniques, code-free AutoML and cloud platforms break the barriers for clinician-driven AI. As AI becomes increasingly democratized through such tools, clinicians and patients stand to benefit greatly.
Source: Current Opinion in Ophthalmology - Category: Opthalmology Tags: ARTIFICIAL INTELLIGENCE IN RETINA: Edited by Judy E. Kim and Ehsan Rahimy Source Type: research