Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Present and Future Applications of Artificial Intelligence in Kidney Transplantation
7
Zitationen
2
Autoren
2024
Jahr
Abstract
Artificial intelligence (AI) has a wide and increasing range of applications across various sectors. In medicine, AI has already made an impact in numerous fields, rapidly transforming healthcare delivery through its growing applications in diagnosis, treatment and overall patient care. Equally, AI is swiftly and essentially transforming the landscape of kidney transplantation (KT), offering innovative solutions for longstanding problems that have eluded resolution through traditional approaches outside its spectrum. The purpose of this review is to explore the present and future applications of artificial intelligence in KT, with a focus on pre-transplant evaluation, surgical assistance, outcomes and post-transplant care. We discuss its great potential and the inevitable limitations that accompany these technologies. We conclude that by fostering collaboration between AI technologies and medical practitioners, we can pave the way for a future where advanced, personalised care becomes the standard in KT and beyond.
Ähnliche Arbeiten
A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation
1999 · 15.080 Zit.
Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and Hospitalization
2004 · 11.256 Zit.
Definition and classification of chronic kidney disease: A position statement from Kidney Disease: Improving Global Outcomes (KDIGO)
2005 · 3.886 Zit.
ACC/AHA 2005 Practice Guidelines for the Management of Patients With Peripheral Arterial Disease (Lower Extremity, Renal, Mesenteric, and Abdominal Aortic)
2006 · 3.698 Zit.
Birth Prevalence of Congenital Heart Disease Worldwide
2011 · 3.325 Zit.