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

Design and Usability of Medical Devices (98) Clinical Information and Decision Making (1407) Tools, Programs and Algorithms (266) Machine Learning (1465) Artificial Intelligence (1371) User-centred Design Case Studies (596) Usability of Apps and User Perceptions of mHealth (974) Quality/Credibility of eHealth Information and Trust Issues (531)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56924, first published .
The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study

The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study

The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study

Authors of this article:

Omer Katzburg1 Author Orcid Image ;   Michael Roimi2 Author Orcid Image ;   Amit Frenkel3 Author Orcid Image ;   Roy Ilan2 Author Orcid Image ;   Yuval Bitan1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.