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Artificial Intelligence for the Diagnosis of Diabetic Retinopathy: An Interview With Michael D. Abramoff, MD, PhD
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Artificial Intelligence for the Diagnosis of Diabetic Retinopathy: An Interview With Michael D. Abramoff, MD, PhD

AJMC®: Is your company working on other applications of AI?
Abramoff: We are developing additional autonomous AI diagnostic platforms for macular degeneration, glaucoma, and diseases outside the eye, such as otitis media. We are also exploring partnerships with other autonomous AI companies that use an ethics-based approach to AI algorithm development.

References
  1. Benoit SR, Swenor B, Geiss LS, Gregg EW, Saaddine JB. Eye care utilization among insured people with diabetes in the US, 2010-2014. Diabetes Care. 2019;42(3):427-433. doi:10.2337/dc18-0828.
  2. Bresnick GH, Mukamel DB, Dickinson JC, Cole DR. A screening approach to the surveillance of patients with diabetes for the presence of vision-threatening retinopathy. Ophthalmology. 2000;107(1):19-24. doi:10.1016/s0161-6420(99)00010-x.
  3. Early Treatment Diabetic Retinopathy Study Research Group. Early photocoagulation for diabetic retinopathy. ETDRS report number 9. Ophthalmology. 1991;98(5 suppl):766-785.
  4. American Diabetes Association. 11. Microvascular complications and foot care: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(suppl 1):S135-S151. doi:10.2337/dc20-S011.


 
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