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TruaceTracing the truth around AIThursday, September 3, 2026
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TRV-2026-0974Certified recordPeer-reviewed

Machine learning models for early detection of urinary tract infections in kidney transplant patients

Background Renal transplantation is the preferred treatment for end-stage chronic kidney disease but requires lifelong immunosuppression, increasing the risk of infections such as urinary tract infection (UTI). UTI in kidney transplant recipients can lead to serious complications, including acute kidney injury, reduced graft survival, and increased mortality. Machine learning can enhance risk detection accuracy and support proactive management of complications. This study aims to develop a machine learning-based…

Health · P Space — documented harm · certified 2026-09-03 · v1 · article view · machine-readable

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Machine learning can enhance risk detection accuracy and support proactive management of complications.

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Truvace Impact Record TRV-2026-0974, v1: “Machine learning models for early detection of urinary tract infections in kidney transplant patients.” Truvace, 2026-09-03. /record/TRV-2026-0974 (accessed at citation time). sha256 c6a814ec53824412…

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