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

Artificial Intelligence in Surgery and Perioperative Medicine (27) Tools, Programs and Algorithms (266) Decision Support for Health Professionals (1185) New Methods (944)

Published on in Vol 5, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37174, first published .
Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Authors of this article:

Amit Bardia1 Author Orcid Image ;   Ranjit Deshpande2 Author Orcid Image ;   George Michel2 Author Orcid Image ;   David Yanez2 Author Orcid Image ;   Feng Dai2 Author Orcid Image ;   Nathan L Pace3 Author Orcid Image ;   Kevin Schuster4 Author Orcid Image ;   Michael R Mathis5 Author Orcid Image ;   Sachin Kheterpal5 Author Orcid Image ;   Robert B Schonberger2 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.