Search research articles
Contact Us
Filters
Showing results (51-60 of 148) with videos related to
Page
of 15
Sort By:
Resuscitation
|
January 12, 2023
When the machine is wrong. Characteristics of true and false predictions of Out-of-Hospital Cardiac arrests in emergency calls using a machine-learning model
Stig Nikolaj Blomberg, Theo W Jensen, Mikkel Porsborg Andersen, et al.
JAMA Network Open
|
January 6, 2021
Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services: A Randomized Clinical Trial
Stig Nikolaj Blomberg, Helle Collatz Christensen, Freddy Lippert, et al.
BMC Medical Ethics
|
July 1, 2021
Documentation of ethically relevant information in out-of-hospital resuscitation is rare: a Danish nationwide observational study of 16,495 out-of-hospital cardiac arrests
Louise Milling, Lars Grassmé Binderup, Caroline Schaffalitzky de Muckadell, et al.
NPJ Digital Medicine
|
December 19, 2023
A retrospective study on machine learning-assisted stroke recognition for medical helpline calls
Jonathan Wenstrup, Jakob Drachmann Havtorn, Lasse Borgholt, et al.
Resuscitation
|
January 7, 2026
Do not attempt resuscitation orders at Out-of-Hospital Cardiac Arrest in Denmark
Stig Nikolaj Fasmer Blomberg, Theo Walther Jensen, Martin Svare, et al.
BMJ Open
|
September 22, 2023
Association between using a prehospital assessment unit and hospital admission and mortality: a matched cohort study
Signe Amalie Wolthers, Stig Nikolaj Fasmer Blomberg, Niklas Breindahl, et al.
European Journal of Emergency Medicine : Official Journal of the European Society for Emergency Medicine
|
March 12, 2021
Emergency Medical Services response levels and subsequent emergency contacts among patients with a history of mental illness in Denmark: a nationwide study
Julie Mackenhauer, Jan Brink Valentin, Søren Mikkelsen, et al.
BMJ Public Health
|
February 28, 2025
Role of alcohol in urgent ambulance contacts in 15-24-year-olds in Copenhagen: a descriptive population-based study
Laura Staxen Bruun, Helle Collatz Christensen, Stig Nikolaj Fasmer Blomberg, et al.
Resuscitation
|
January 22, 2019
Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Stig Nikolaj Blomberg, Fredrik Folke, Annette Kjær Ersbøll, et al.
Resuscitation
|
September 27, 2019
Reply letter to "Machine learning as a supportive tool to recognize cardiac arrest in emergency calls"
Stig Nikolaj Blomberg, Fredrik Folke, Annette Kjær Ersbøll, et al.
Page
of 15
Search research articles
Search
Showing results (51-60 of 148) with videos related to
Sort By:
Page
of 15
Resuscitation
|
January 12, 2023
When the machine is wrong. Characteristics of true and false predictions of Out-of-Hospital Cardiac arrests in emergency calls using a machine-learning model
Stig Nikolaj Blomberg, Theo W Jensen, Mikkel Porsborg Andersen, et al.
JAMA Network Open
|
January 6, 2021
Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services: A Randomized Clinical Trial
Stig Nikolaj Blomberg, Helle Collatz Christensen, Freddy Lippert, et al.
BMC Medical Ethics
|
July 1, 2021
Documentation of ethically relevant information in out-of-hospital resuscitation is rare: a Danish nationwide observational study of 16,495 out-of-hospital cardiac arrests
Louise Milling, Lars Grassmé Binderup, Caroline Schaffalitzky de Muckadell, et al.
NPJ Digital Medicine
|
December 19, 2023
A retrospective study on machine learning-assisted stroke recognition for medical helpline calls
Jonathan Wenstrup, Jakob Drachmann Havtorn, Lasse Borgholt, et al.
Resuscitation
|
January 7, 2026
Do not attempt resuscitation orders at Out-of-Hospital Cardiac Arrest in Denmark
Stig Nikolaj Fasmer Blomberg, Theo Walther Jensen, Martin Svare, et al.
BMJ Open
|
September 22, 2023
Association between using a prehospital assessment unit and hospital admission and mortality: a matched cohort study
Signe Amalie Wolthers, Stig Nikolaj Fasmer Blomberg, Niklas Breindahl, et al.
European Journal of Emergency Medicine : Official Journal of the European Society for Emergency Medicine
|
March 12, 2021
Emergency Medical Services response levels and subsequent emergency contacts among patients with a history of mental illness in Denmark: a nationwide study
Julie Mackenhauer, Jan Brink Valentin, Søren Mikkelsen, et al.
BMJ Public Health
|
February 28, 2025
Role of alcohol in urgent ambulance contacts in 15-24-year-olds in Copenhagen: a descriptive population-based study
Laura Staxen Bruun, Helle Collatz Christensen, Stig Nikolaj Fasmer Blomberg, et al.
Resuscitation
|
January 22, 2019
Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Stig Nikolaj Blomberg, Fredrik Folke, Annette Kjær Ersbøll, et al.
Resuscitation
|
September 27, 2019
Reply letter to "Machine learning as a supportive tool to recognize cardiac arrest in emergency calls"
Stig Nikolaj Blomberg, Fredrik Folke, Annette Kjær Ersbøll, et al.
Page
of 15