Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

[This corrects the article DOI: 10.1038/s41746-019-0099-8.].

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical population, and compare the algorithm performance with that of human graders. A total of 25,326 gradable retinal images of patients with diabetes from the community-based, nationwide screening program of DR in Thailand were analyzed for DR severity and referable diabetic macular edema (DME).

Blood culture and conventional media for vitreous culture in infectious endophthalmitis.

Objective: To study culture of vitreous fluid specimens in patients with infectious endophthalmitis, using blood culture bottles compared with conventional culture media.

Material And Method: Patients with infectious endophthalmitis, occurred within 6 weeks after ocular trauma or intraocular surgery, were prospectively studied. Vitreous fluid specimens were cultured in both blood culture bottles and conventional culture media.