The article notes that AI is beginning to influence ophthalmic care, but it doesn't specify which tasks are most affected. I'm curious whether AI is currently more useful for image-based screening, such as detecting diabetic retinopathy, or for predicting treatment response. Also, how do clinicians verify AI recommendations when the underlying model isn't fully transparent? A brief example of a real workflow would help readers understand where the human ophthalmologist still remains essential.
The article notes that AI is beginning to influence ophthalmic care, but it doesn't specify which tasks are most affected. I'm curious whether AI is currently more useful for image-based screening, such as detecting diabetic retinopathy, or for predicting treatment response. Also, how do clinicians verify AI recommendations when the underlying model isn't fully transparent? A brief example of a real workflow would help readers understand where the human ophthalmologist still remains essential.
See also: https://slayer2.org/