SOURCE-LINKED INTELLIGENCE
DEVELOPMENT AND VALIDATION OF A DEEP LEARNING SYSTEM TO ESTIMATE INTERSTITIAL FIBROSIS FROM A KIDNEY ULTRASONOGRAPHY IMAGE - PROJECT SUMMARY INTERSTITIAL FIBROSIS IS A COMMON FINDING ON KIDNEY BIOPSY, AND STRONGLY PREDIC
DEVELOPMENT AND VALIDATION OF A DEEP LEARNING SYSTEM TO ESTIMATE INTERSTITIAL FIBROSIS FROM A KIDNEY ULTRASONOGRAPHY IMAGE - PROJECT SUMMARY INTERSTITIAL FIBROSIS IS A COMMON FINDING ON KIDNEY BIOPSY, AND STRONGLY PREDICTS FUTURE DECLINE IN KIDNEY FUNCTION IRRESPECTIVE OF THE UNDERLYING ETIOLOGY OF KIDNEY DISEASE. UNFORTUNATELY, INTERSTITIAL FIBROSIS IS POORLY CAPTURED BY THE CURRENT CLINICAL BIOMARKERS OF KIDNEY FUNCTION (EGFR AND ALBUMINURIA). THUS, INTERSTITIAL FIBROSIS IS COMMON, HOLDS SUBSTANTIAL PROGNOSTIC IMPORTANCE, AND YET CLINICIANS ARE BLIND TO ITS PRESENCE OR SEVERITY EXCEPT IN RAR
Read original source ↗ Open in workspace
- recordType
- award
- region
- US
- value
- 1663432
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.