SOURCE-LINKED INTELLIGENCE

APPLICATIONS OF ARTIFICIAL INTELLIGENCE TO THE DIAGNOSTIC EVALUATION OF INFECTIOUS KERATITIS - PROJECT SUMMARY/ABSTRACT THIS K23 PROPOSAL AIMS TO DEVELOP AND EVALUATE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (AI) TO THE D

USAspending · observation · Publication date unknown

APPLICATIONS OF ARTIFICIAL INTELLIGENCE TO THE DIAGNOSTIC EVALUATION OF INFECTIOUS KERATITIS - PROJECT SUMMARY/ABSTRACT THIS K23 PROPOSAL AIMS TO DEVELOP AND EVALUATE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (AI) TO THE DIAGNOSTIC INVESTIGATION OF INFECTIOUS KERATITIS, A MAJOR CAUSE OF BLINDNESS WORLDWIDE. THIS WILL BE ACCOMPLISHED THROUGH THREE SPECIFIC AIMS: 1) DEVELOP AND EVALUATE AN AI MODEL TO IDENTIFY THE ETIOLOGY OF CULTURE-PROVEN INFECTIOUS KERATITIS FROM AN EXISTING DATABASE OF CLINICAL PHOTOGRAPHS; 2) EXTERNALLY VALIDATE MODEL PERFORMANCE IN A REAL- WORLD, POPULATION-BASED SAMPLE OF C

Read original source ↗ Open in workspace

recordType

award

region

US

value

1335462

unit

USD