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DEVELOPING EQUITABLE DEEP LEARNING MODELS FOR AUTOMATED GLAUCOMA SCREENING - PROJECT SUMMARY MOTIVATION: GLAUCOMA IS A LEADING CAUSE OF IRREVERSIBLE BLINDNESS AFFECTING 3 MILLION PATIENTS IN THE US. ABOUT 50% OF PEOPLE W

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DEVELOPING EQUITABLE DEEP LEARNING MODELS FOR AUTOMATED GLAUCOMA SCREENING - PROJECT SUMMARY MOTIVATION: GLAUCOMA IS A LEADING CAUSE OF IRREVERSIBLE BLINDNESS AFFECTING 3 MILLION PATIENTS IN THE US. ABOUT 50% OF PEOPLE WITH GLAUCOMA ARE UNAWARE OF THEIR CONDITION, AND RACIAL AND ETHNIC MINORITY GROUPS ARE PARTICULARLY AFFECTED DUE TO A LACK OF ACCESS TO AFFORDABLE OPHTHALMIC CARE. GLAUCOMA DETECTION WITH DEEP LEARNING USING RETINAL IMAGING IS PROMISING TO PROVIDE AFFORDABLE GLAUCOMA SCREENING TO REDUCE HEALTH DISPARITIES, WHICH CAN BE DEPLOYED IN PRIMARY CARE AND PHARMACIES WITHOUT NEEDING IND

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recordType

award

region

US

value

2015904

unit

USD