Smart match: revolutionizing organ allocation through artificial intelligence

被引:3
作者
Deshpande, Rajkiran [1 ]
机构
[1] Univ Manchester Hosp NHS Fdn Trust, Manchester Royal Infirm, Dept Renal Transplant & Gen Surg, Manchester, England
来源
FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2024年 / 7卷
关键词
organ procurement; transplantation; artificial intelligence; organ utilization; organ allocation; LIVER-TRANSPLANTATION; PATIENT SURVIVAL; CHALLENGES; VALIDATION; MODEL;
D O I
10.3389/frai.2024.1364149
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this transformative era of organ transplantation, integrating Smart Match and artificial intelligence (AI) emerges as a pivotal advancement, revolutionizing organ allocation processes. Smart Match employs AI algorithms, enhancing organ matching precision and optimizing transplantation outcomes. Leveraging machine learning addresses complexities in donor-recipient pairing, immunosuppression management, and post-operative care, promising to minimize waitlist mortality and improve patient wellbeing. The multifaceted potential of Smart Match lies in its ability to not only streamline current practices but also pave the way for future innovations in solid organ transplantation. As technology continues to evolve, the collaboration between Smart Match and AI exemplifies a beacon of progress, promising increased efficiency, equitable organ distribution, and improved patient care. This article delves into the paradigm shift facilitated by Smart Match and AI, emphasizing their transformative impact on the landscape of organ allocation and patient outcomes.
引用
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页数:6
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