Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …

Millions of people are affected by retinal abnormalities worldwide. Early detection and
treatment of these abnormalities could arrest further progression, saving multitudes from …

Topic Diagnostic performance of deep learning–based algorithms in screening patients with
diabetes for diabetic retinopathy (DR). The algorithms were compared with the current gold …

Abstract The advent of Deep Learning (DL) is poised to dramatically change the delivery of
healthcare in the near future. Not only has DL profoundly affected the healthcare industry it …

Deep learning is an emerging technology with numerous potential applications in
Ophthalmology. Deep learning tools have been applied to different diagnostic modalities …

Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …

Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …

Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR)
algorithms, possibly tackling financial and manpower challenges hindering implementation …

Artificial intelligence (AI)-based diagnostic tools have been accepted in ophthalmology. The
use of retinal images, such as fundus photographs, is a promising approach for the …