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

Design and Usability of Medical Devices (117) Clinical Information and Decision Making (1589) Tools, Programs and Algorithms (312) Machine Learning (1666) Artificial Intelligence (1646) User-centred Design Case Studies (630) Usability of Apps and User Perceptions of mHealth (1061) Quality/Credibility of eHealth Information and Trust Issues (586)

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
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Yuval Bitan Yuval Bitan @ybitan

The Impact of Information Relevancy and Interactivity on Intensivists’ Trust in a Machine Learning–Based Bacteremia Prediction System: Simulation Study https://t.co/t9WnlOidpC

2:07 PM · Aug 03, 2024

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