In this episode of Real Talk, Scot Morris, OD, and Rehan Ahmed, MD, dive into the world of data mining and the often-misunderstood reasons behind AI failure.
They break down the three key steps of data mining—classification, clustering and rule learning—and explain how these processes turn raw data into actionable knowledge in healthcare and beyond.
The conversation then shifts to a critical look at why AI sometimes falls short, particularly in the field of diabetic retinopathy. Is it the technology itself, or are poor workflows, environmental factors and lack of clear follow-up pathways to blame?
Join the co-hosts as they discuss why “tech is just a tool” and why getting your workflow right is the essential first step toward successful AI implementation.
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