Background For the adoption of machine learning clinical decision support systems (ML-
CDSS) it is critical to understand the performance aid of the ML-CDSS. However, it is not …

Introduction Artificial intelligence–driven decision support systems (AI–DSS) have the
potential to help physicians analyze data and facilitate the search for a correct diagnosis or …

This review explores the integration of artificial intelligence (AI) and machine learning (ML)
into kidney transplantation (KT), set against the backdrop of a significant donor organ …

Background Recent advances in hardware and software enabled the use of artificial
intelligence (AI) algorithms for analysis of complex data in a wide range of daily-life use …

Abstract​ Dieses Open-Access-essential schafft Orientierung, wenn Künstliche Intelligenz
im klinischen Alltag eingesetzt wird. Die Herausforderungen werden anhand zweier …

Der folgende Beitrag untersucht, wie der Einsatz von Künstlicher Intelligenz (KI) in der
Medizin einerseits dazu beitragen kann, Ärzt* innen einige Aufgaben abzunehmen und sie …

There has been a steady rise in the use of clinical decision support (CDS) tools to guide
Nephrology, as well as general clinical care. Through guidance set by federal agencies and …

Scientific publications about the application of machine learning models in healthcare often
focus on improving performance metrics. However, beyond often short-lived improvements …

Introduction As healthcare is shifting from a paternalistic to a patient-centred approach,
medical decision making becomes more collaborative involving patients, their support …

Background Patients after kidney transplantation eventually face the risk of graft loss with the
concomitant need for dialysis or retransplantation. Choosing the right kidney replacement …