The Hidden Challenges and Misconceptions about AI-based Tools in Vision Research

By Joy Curzio

Artificial intelligence (AI)-led advancements in vision research and science, which can range from tools that patients can use at home to monitor disease progression to algorithms that can identify patient characteristics such as gender, age and smoking history, just from a retinal image — can, at worst, facilitate basic research by improving the speed and accuracy of data processing. At best, AI might one day also directly improve patient care in new and innovative ways. Part 2 in a series: AI in Ophthalmology

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Feature stories

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The Hidden Challenges and Misconceptions about AI-based Tools in Vision Research

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