The role of artificial intelligence measured preoperative kidney volume in predicting kidney function loss in elderly kidney donors: a multicenter cohort study.
Abstract
The increasing use of kidneys from elderly donors raises concerns due to age-related nephron loss. Combined with nephrectomy, this loss of nephrons markedly increases the risk of developing chronic kidney disease (CKD). This study aimed to investigate the prognostic value of preoperative kidney cortex volume in predicting the loss of kidney function in elderly donors, by developing an artificial intelligence (AI)-based model for precise kidney volume measurement and applying it to living kidney donors.
The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.
Research summary
The paper addresses the issue of kidney function loss in elderly donors, which is pertinent to aging and age-related diseases. However, it focuses on a specific clinical application rather than addressing the root causes of aging or lifespan extension. The use of AI for measuring kidney volume is an interesting approach, but the overall contribution to the field of longevity research is limited, making it a solid but not groundbreaking study.
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