SOURCE-LINKED INTELLIGENCE
ARTIFICIAL INTELLIGENCE TOOL TO OPTIMIZE ORGAN TRANSPLANTATION OUTCOMES (TRANSPLANT-AI) - ABSTRACT THE ORGAN TRANSPLANTATION PROCESS FACES SIGNIFICANT CHALLENGES, RESULTING IN POOR PATIENT OUTCOMES, WASTED RESOURCES, AND
ARTIFICIAL INTELLIGENCE TOOL TO OPTIMIZE ORGAN TRANSPLANTATION OUTCOMES (TRANSPLANT-AI) - ABSTRACT THE ORGAN TRANSPLANTATION PROCESS FACES SIGNIFICANT CHALLENGES, RESULTING IN POOR PATIENT OUTCOMES, WASTED RESOURCES, AND A GROWING DEMAND THAT OUTPACES THE SUPPLY. WITH NEARLY 120,000 PATIENTS ON THE WAITLIST AND 17 PATIENTS DYING DAILY AWAITING A DONOR ORGAN, CURRENT ORGAN MATCHING METHODS ARE SUBOPTIMAL AND INADEQUATE. DESPITE THE WEALTH OF DATA AVAILABLE, NO COMPREHENSIVE CLINICAL TOOLS EXIST TO AID TRANSPLANT CENTERS AND ORGAN PROCUREMENT ORGANIZATIONS (OPOS) IN MAKING CRITICAL, TIME-SENSITI
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- recordType
- award
- region
- US
- value
- 2250478
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:26:55.867Z. This is not the publication date.