This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1525) Registered Report (788) Artificial Intelligence (2097) mHealth in a Clinical Setting (740) Machine Learning (2057) Focus Groups and Qualitative Research for Human Factors Research (1207) E-Health / Health Services Research and New Models of Care (713)

Published on in Vol 13 (2025)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69688, first published .
Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Authors of this article:

Godwin Denk Giebel1 Author Orcid Image ;   Pascal Raszke1 Author Orcid Image ;   Hartmuth Nowak2, 3 Author Orcid Image ;   Lars Palmowski2 Author Orcid Image ;   Michael Adamzik2 Author Orcid Image ;   Philipp Heinz4 Author Orcid Image ;   Marianne Tokic5 Author Orcid Image ;   Nina Timmesfeld5 Author Orcid Image ;   Frank Martin Brunkhorst6 Author Orcid Image ;   Jürgen Wasem1 Author Orcid Image ;   Nikola Blase1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. 田中 晴, 神田 光. 消化器癌領域におけるAI搭載モバイルアプリの現状と課題. The Japanese Journal of SURGICAL METABOLISM and NUTRITION 2025;59(5):111 View