Details

Autor(en) / Beteiligte

• Korot, Edward
• Gonçalves, Mariana B
• Khan, Saad M
• Struyven, Robbert
• Wagner, Siegfried K
• Keane, Pearse A

Titel

Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization

Ist Teil von

• Current opinion in ophthalmology, 2021-09, Vol.32 (5), p.445-451

Ort / Verlag

United States

Erscheinungsjahr

2021

Quelle

MEDLINE

Beschreibungen/Notizen

• This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology. 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. 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.