SOURCE-LINKED INTELLIGENCE
AI-DRIVEN LOW-COST ULTRASOUND FOR AUTOMATED QUANTIFICATION OF HYPERTENSION, PREECLAMPSIA, AND IUGR - PROJECT SUMMARY/ABSTRACT LIFE-SAVING ADVANCES IN MEDICAL CARE IN RECENT DECADES HAVE REDUCED GLOBAL MORTALITY RATES BUT
AI-DRIVEN LOW-COST ULTRASOUND FOR AUTOMATED QUANTIFICATION OF HYPERTENSION, PREECLAMPSIA, AND IUGR - PROJECT SUMMARY/ABSTRACT LIFE-SAVING ADVANCES IN MEDICAL CARE IN RECENT DECADES HAVE REDUCED GLOBAL MORTALITY RATES BUT HAVE UNDERPERFORMED IN ADDRESSING MATERNAL MORTALITY, STILLBIRTH, AND NEONATAL MORTALITY. A KEY REASON FOR THESE DISPARITIES IN BOTH LOW- AND HIGH-INCOME SETTINGS IS THE LACK OF SYSTEMATIC SCREENING WITH APPROPRIATE AND AFFORDABLE) TECHNOLOGY FOR HIGH PRIORITY CONDITIONS SUCH AS MATERNAL HYPERTENSION AND PREECLAMPSIA AND FETAL GROWTH RESTRICTION. THE DEVELOPMENT OF NEW LOW-COS
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- recordType
- award
- region
- US
- value
- 3086098
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:26:55.867Z. This is not the publication date.