All eyes are on AI

Heart, Eye, and Artificial Intelligence: A Review

“…With aging populations across the globe, the use of AI and deep learning systems are starting to drive automated diagnoses in clinical ophthalmology [ 49 ]. While machines can be trained to discern and learn visual patterns of diseased and healthy microvessels, researchers are seeking ways to characterize the exact series of mechanisms by which machines learn how to detect and assess the severity of disease [ 50 ]. The expanded use of deep learning naturally prompts additional questions, such as accountability of diagnoses on the part of humans or machines in the case of software errors, as well as optimization of the technology under clinical constraints [ 50 ].…”

“…While machines can be trained to discern and learn visual patterns of diseased and healthy microvessels, researchers are seeking ways to characterize the exact series of mechanisms by which machines learn how to detect and assess the severity of disease [ 50 ]. The expanded use of deep learning naturally prompts additional questions, such as accountability of diagnoses on the part of humans or machines in the case of software errors, as well as optimization of the technology under clinical constraints [ 50 ]. As scientists continue to develop increasingly intuitive algorithms with quick learning capabilities, the possibility of a clinical diagnostic robot that can scan retinas to examine the inner workings of the heart could be a reality in the near future.…”