February 2022
Volume 22, Issue 3
Open Access
Optica Fall Vision Meeting Abstract  |   February 2022
Invited Session I: Artificial intelligence applications in ophthalmology and vision science: Autonomous AI for the Diabetic Eye Exam for improving outcomes: Lessons learnt
Author Affiliations
  • Michael D. Abràmoff
    University of Iowa Retina Service
    Digital Diagnostics, Coralville, Iowa
Journal of Vision February 2022, Vol.22, 43. doi:https://doi.org/10.1167/jov.22.3.43
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      Michael D. Abràmoff; Invited Session I: Artificial intelligence applications in ophthalmology and vision science: Autonomous AI for the Diabetic Eye Exam for improving outcomes: Lessons learnt. Journal of Vision 2022;22(3):43. doi: https://doi.org/10.1167/jov.22.3.43.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Diabetic retinopathy leads to avoidable blindness and is an important cause of health disparities. Autonomous AI allows immediate point of care diabetic eye exams that can increase access, address disparities and lower cost. Major hurdles needed to be overcome: ethical framework, liability, standard of care, (FDA) regulation, CPT coding, reimbursement, and HEDIS / MIPS quality measurements. How we overcame these hurdles is illustrative for AI of the eye in other fields.

Footnotes
 Funding: Funding Acknowledgement: NIH. Disclosures: founder, consultant, equity, director of Digital Diagnostics
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