How AI Is Reading Retinal Images for Disease Screening episode artwork

EPISODE · Jun 5, 2026 · 9 MIN

How AI Is Reading Retinal Images for Disease Screening

from The Digital Health Podcast with Fexingo: Wearables, Diagnostics, and Health Software · host Fexingo

Episode 33 of The Digital Health Podcast with Fexingo explores how artificial intelligence is analyzing retinal scans to detect signs of diabetic retinopathy, cardiovascular disease, and even Alzheimer's risk years before symptoms appear. Lucas and Luna zero in on the FDA-cleared system from IDx-DR (now LumineticsCore) and the new wave of deep learning models trained on millions of fundus photographs. They discuss the clinical validation data from a 2024 JAMA study, the workflow integration challenges in primary care offices, and why reimbursement codes are the bottleneck for scaling. No hype, just the real metrics: sensitivity above 87% in real-world deployment and the false-positive tradeoffs that keep regulators cautious. If you're following where computer vision meets clinical workflow, this is the episode that cuts through the noise. #AI #RetinalImaging #DiabeticRetinopathy #IDxDR #LumineticsCore #ComputerVision #DeepLearning #FDACleared #JAMA #Screening #PrimaryCare #Ophthalmology #DigitalHealth #HealthTech #Diagnostics #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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How AI Is Reading Retinal Images for Disease Screening

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This episode was published on June 5, 2026.

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