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VALIDATION AND IMPLEMENTATION OF AN ARTIFICIAL INTELLIGENCE MACHINE-TO-MACHINE (M2M) MODEL FOR EQUITABLE GLAUCOMA SCREENING IN UNDERSERVED POPULATIONS - PROJECT SUMMARY GLAUCOMA IS A LEADING CAUSE OF IRREVERSIBLE BLINDNE

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VALIDATION AND IMPLEMENTATION OF AN ARTIFICIAL INTELLIGENCE MACHINE-TO-MACHINE (M2M) MODEL FOR EQUITABLE GLAUCOMA SCREENING IN UNDERSERVED POPULATIONS - PROJECT SUMMARY GLAUCOMA IS A LEADING CAUSE OF IRREVERSIBLE BLINDNESS IN BLACK, HISPANIC, AND LATINO COMMUNITIES IN THE UNITED STATES. THESE POPULATIONS OFTEN FACE SUBSTANTIAL BARRIERS IN ACCESSING TIMELY AND EFFECTIVE DIAGNOSTIC SERVICES, A CHALLENGE INTENSIFIED BY SOCIOECONOMIC AND SYSTEMIC HEALTHCARE INEQUALITIES. SUCH OBSTACLES FREQUENTLY LEAD TO LATE-STAGE PRESENTATION, DRASTICALLY INCREASING RISK OF BLINDNESS. THIS REALITY HIGHLIGHTS THE

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award

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US

value

1763680

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USD