Editorial: Bench to bedside: AI and remote patient monitoring

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Author and article information

Contributors

Ramin Ramezani: URI : https://loop.frontiersin.org/people/308358/overviewRole: Role: Role: Role:

Saam Iranmanesh: URI : https://loop.frontiersin.org/people/2053174/overviewRole:

Arash Naeim: URI : https://loop.frontiersin.org/people/2065194/overviewRole:

Peyman Benharash: URI : https://loop.frontiersin.org/people/2068344/overviewRole:

Journal

Journal ID (nlm-ta): Front Digit Health

Journal ID (iso-abbrev): Front Digit Health

Journal ID (publisher-id): Front. Digit. Health

Title: Frontiers in Digital Health

Publisher: Frontiers Media S.A.

ISSN (Electronic): 2673-253X

Publication date (Electronic): 11 March 2025

Publication date Collection: 2025

Volume: 7

Electronic Location Identifier: 1584443

Affiliations

[ ¹ ]Computer Science Department, University of California , Los Angeles, Los Angeles, CA, United States

[ ² ]Department of Electrical and Electronic Engineering, Imperial College London , London, United Kingdom

[ ³ ]David Geffen School of Medicine, University of California , Los Angeles, Los Angeles, CA, United States

Author notes

Edited and Reviewed by: Toshiyo Tamura, Waseda University, Japan

[* ] Correspondence: Ramin Ramezani raminr@ 123456ucla.edu

Article

DOI: 10.3389/fdgth.2025.1584443

PMC ID: 11933033

PubMed ID: 40134463

SO-VID: 0d873529-16c9-4244-8ee5-566763f7ad2e

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

History

Date received : 27 February 2025

Date accepted : 27 February 2025

Page count

Figures: 0, Tables: 0, Equations: 0, References: 0, Pages: 4, Words: 0

Custom metadata

section-at-acceptance Connected Health

Keywords: artificial intelligence,remote patient monitoring (rpm),cloud computing,personalized & precision medicine (ppm),machine learning methods

Data availability:

Keywords: artificial intelligence, remote patient monitoring (rpm), cloud computing, personalized & precision medicine (ppm), machine learning methods

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