VANCOUVER, British Columbia — Using good-quality macular-centered fundus photographs and serum samples, a newly designed deep learning system could accurately estimate hemoglobin A1c levels, according to a speaker here.
“With the advent of AI, we are hoping to further introduce this as an exponentially paradigm shift for home care of diabetes,” Yih-Chung Tham, PhD, said at the Association for Research in Vision and Ophthalmology annual meeting.
Tham and researchers from Singapore Eye Research Institute included 17,422 participants in the retrospective review; 13,937
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