Imaging, disease classification among future applications for AI
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KOLOA, Hawaii — Artificial intelligence has the potential to help ophthalmologists better perform clinical exams, as well as diagnose and classify disease, according to a speaker here.
“In the future, I think AI-assisted imaging is going to change the way we are currently managing patients,” John Peter Campbell, MD,” said during a presentation at Retina 2023.
In a way similar to how OCT is routinely used to manage macular disease, Campbell said that he expects to see continued improvements in ocular imaging as AI advances. AI can facilitate autofocus, image segmentation and data processing, as well as automatically identify, classify and quantify areas of pathology on ocular imaging. It also has the ability to recognize imaging features associated with systemic disease and predict future disease states, Campbell said.
AI also has potential for image segmentation algorithms that can offer new strategies for treatment paradigms. It may have potential in the field of oculomics as well.
“You can look in a patient's eye and understand something about that patient's systemic health besides just their eye disease,” Campbell said. “This is a field that is rapidly emerging.”
Precision medicine may also benefit from AI developments in terms of guiding intervention and determining which patients with diabetes to treat, Campbell said.
“In some ways, AI is going to work behind the scenes to help us take better pictures, better understand diseases and better manage patients,” he said.
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Campbell JPC. How AI is going to change your practice (for the better). Presented at: Retina 2023; Jan. 15-20, 2023; Koloa, Hawaii.
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