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

Ambient AI Scribes and AI-Driven Documentation Technologies (96) Clinical Information and Decision Making (3524) Adoption and Change Management of eHealth Systems (1082) Intensive Care Unit (ICU) (183) Generative Language Models Including ChatGPT (1406) AI Language Models in Health Care (687)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85015, first published .
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Feasibility of Tailoring Artificial Intelligence–Assisted Ambient Scribes for Intensive Care Unit Rounds: Algorithm Development and Validation

Feasibility of Tailoring Artificial Intelligence–Assisted Ambient Scribes for Intensive Care Unit Rounds: Algorithm Development and Validation

Authors of this article:

Ritchie Verma1 Author Orcid Image ;   Sandeep S Bains2 Author Orcid Image ;   Sai Harshith Reddy Muthani3 Author Orcid Image ;   Arun Arunachalam4 Author Orcid Image ;   Vishnu Mohan2 Author Orcid Image ;   Jeffrey A Gold2 Author Orcid Image
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Ritchie Verma   1 , MD ;   Sandeep S Bains   2 , MD ;   Sai Harshith Reddy Muthani   3 , MS ;   Arun Arunachalam   4 , MS ;   Vishnu Mohan   2 , MD ;   Jeffrey A Gold   2 , MD

1 Department of Medicine, Yale School of Medicine, New Haven, CT, United States

2 Division of Informatics, Clinical Epidemiology, and Translational Data Science (DICE), Department of Medicine, Oregon Health and Science University, Portland, OR, United States

3 Arizona State University, Tempe, AZ, United States

4 Amazon, Seattle, WA, United States

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