artificial intelligence – Computational Ophthalmology

Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems

Marian Blazes — Tue, 05 Jan 2021 22:14:52 +0000

In this article published in the journal Diabetes Care, Dr. Aaron Lee and his co-authors put diabetic retinopathy screening algorithms to the test in the real world, evaluating them on retinal images from nearly 24,000 veterans who sought diabetic retinopathy screening at two Veterans Affairs health care systems (Seattle and Atlanta). These screening algorithms are …

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Big data requirements for artificial intelligence

Marian Blazes — Tue, 15 Sep 2020 20:57:00 +0000

In this article for the journal Current Opinion in Ophthalmology, Dr. Wang and her co-authors discuss the evolution of big data and artificial intelligence technologies in medicine, including current capabilities and limitations. They then address the problems that must be addressed before big data can enable the next generation of artificial intelligence. Big data research has benefitted from important technological advances in recent years. Artificial intelligence research depends on large amounts of data, often collected from multiple institutions, in order to be most effective.