1 – 10 of 36
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2025
-
Mark
Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
- Contribution to journal › Article
-
Mark
Confronting workplace violence in emergency care : insights from global research
- Contribution to journal › Article
-
Mark
The Way to a Patient's Heart - Vascular Access in Cardiac Arrest
- Contribution to journal › Debate/Note/Editorial
-
Mark
Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission
- Contribution to journal › Article
- 2024
-
Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
(2024) Swedish Emergency Medicine Talks - SWEETS24
- Contribution to conference › Poster
-
Mark
Exploring Artificial Intelligence in Emergency Medicine for Predicting Disposition, Death, and Diagnosis
(2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
-
Mark
Andexanet for Factor Xa Inhibitor-Associated Acute Intracerebral Hemorrhage
- Contribution to journal › Article
-
Mark
A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
- Contribution to journal › Article
-
Mark
The use of venous blood gas in assessing arterial acid−base and oxygenation status–an analysis of aggregated data from multiple studies evaluating the venous to arterial conversion (v-TAC) method
- Contribution to journal › Article
-
Mark
The skåne emergency medicine (SEM) cohort
- Contribution to journal › Article
