Readiness for remote healthcare and artificial intelligence in kidney transplant care: a cross-sectional study

Abstract Kidney transplant patients require intensive follow-up, including monitoring of immunosuppression and screening for complications. Information and communication technologies (ICT) and artificial intelligence (AI) may help optimize and personalize transplant care. We assessed patients’ attitudes toward these technologies using a structured questionnaire. A total of 130 patients participated, including 82 (63.1%) kidney transplant recipients and 48 (36.9%) patients awaiting transplantation. Smartphone (96.9%) and computer (93.8%) ownership was high. Most participants perceived ICT as improving the quality of care (81.7%). AI was primarily viewed as a supportive tool for physicians (59.8%), although many participants expressed doubts regarding its medical (50.4%) and social capabilities (61.2%). In multivariable analyses, higher education was independently associated with greater willingness to share health data via a clinic app (adjusted OR 3.73, 95% CI 1.57–8.89) and better comprehension of AI (adjusted OR 5.35, 95% CI 2.23–12.79). Higher eHealth literacy was associated with greater acceptance of online communication (adjusted OR 1.11, 95% CI 1.02–1.21) and better comprehension of AI (adjusted OR 1.11, 95% CI 1.03–1.20), while male sex was associated with greater trust in AI-generated treatment plans (adjusted OR 2.55, 95% CI 1.14–5.69).These findings support the integration of ICT and AI into transplant care while highlighting the need for targeted implementation strategies tailored to specific patient groups.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-24
DOI
https://doi.org/10.1038/s41598-026-72468-0
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Readiness for remote healthcare and artificial intelligence in kidney transplant care: a cross-sectional study

Martin Holderried, Andreas L. Birkenfeld, Friederike Holderried, Nils Heyne et al.
Scientific Reports
Mobile Health and mHealth Applications
article

Readiness for remote healthcare and artificial intelligence in kidney transplant care: a cross-sectional study

Martin Holderried, Andreas L. Birkenfeld, Friederike Holderried, Nils Heyne, Silvio Nadalin, Martina Guthoff, Leonie Stauß, Felix Eisinger, Anna-Antonia Pape
article en

Abstract

Abstract Kidney transplant patients require intensive follow-up, including monitoring of immunosuppression and screening for complications. Information and communication technologies (ICT) and artificial intelligence (AI) may help optimize and personalize transplant care. We assessed patients’ attitudes toward these technologies using a structured questionnaire. A total of 130 patients participated, including 82 (63.1%) kidney transplant recipients and 48 (36.9%) patients awaiting transplantation. Smartphone (96.9%) and computer (93.8%) ownership was high. Most participants perceived ICT as improving the quality of care (81.7%). AI was primarily viewed as a supportive tool for physicians (59.8%), although many participants expressed doubts regarding its medical (50.4%) and social capabilities (61.2%). In multivariable analyses, higher education was independently associated with greater willingness to share health data via a clinic app (adjusted OR 3.73, 95% CI 1.57–8.89) and better comprehension of AI (adjusted OR 5.35, 95% CI 2.23–12.79). Higher eHealth literacy was associated with greater acceptance of online communication (adjusted OR 1.11, 95% CI 1.02–1.21) and better comprehension of AI (adjusted OR 1.11, 95% CI 1.03–1.20), while male sex was associated with greater trust in AI-generated treatment plans (adjusted OR 2.55, 95% CI 1.14–5.69).These findings support the integration of ICT and AI into transplant care while highlighting the need for targeted implementation strategies tailored to specific patient groups.

Scientific ReportsVol. 16(1)
University of Hohenheim (DE), Nephrologisches Zentrum Villingen-Schwenningen (DE), University Children's Hospital Tübingen (DE), Deutsches Diabetes-Zentrum e.V. (DE), German Center for Diabetes Research (DE), Heinrich Heine University Düsseldorf (DE), University of Tübingen (DE)
Quality Education
Openalex Percentile: Top 6%
Mobile Health and mHealth Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.