Chapter 9 eHealth and Telemedicine for Risk Prediction and Monitoring in Kidney Transplantation Recipients

By Duettmann Wiebke, Charitéé – Universitätsmedizin Berlin, Medical Department of Nephrology and Medical Intensive Care, Berlin, Germany, Berlin Institute of Health, Berlin, Germany, wiebke.duettmann@charite.de | Roland Roller, German Research Center for Artificial Intelligence (DFKI), Berlin, Germany, roland.roller@dfki.de | Bilgin Osmanodja, Charité – Universitätsmedizin Berlin, Medical Department of Nephrology and Medical Intensive Care, Berlin, Germany, bilgin.osmanodja@charite.de | Verena Graf, Charité – Universitätsmedizin Berlin, Business Division IT, Berlin, Germany, verena.graf@charite.de | Matthias Pfefferkorn, Charité – Universitätsmedizin Berlin, Medical Department of Nephrology and Medical Intensive Care, Berlin, Germany, matthias.pfefferkorn@charite.de | Danilo Schmidt, Charité – Universitätsmedizin Berlin, Business Division IT, Berlin, Germany, danilo.schmidt@charite.de | Anne Schwerk, IU International University, Department IT & Engineering, Extended Artificial Intelligence Germany; Berlin Institute of Health, Berlin, Germany | Marcel G. Naik, Charité – Universitätsmedizin Berlin, Medical Department of Nephrology and Medical Intensive Care, Berlin, Germany, marcel.naik@charite.de | Klemens Budde, Charité – Universitätsmedizin Berlin, Medical Department of Nephrology and Medical Intensive Care, Berlin, Germany, klemens.budde@charite.de

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Published: 08 Jul 2024

© 2024 Duettmann Wiebke | Roland Roller | Bilgin Osmanodja | Verena Graf | Matthias Pfefferkorn | Danilo Schmidt | Anne Schwerk | Marcel G. Naik | Klemens Budde