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- 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)
- 2022
-
Mark
Increasing rates of firearm violence in Sweden: a challenge for the emergency care
(
- Contribution to journal › Debate/Note/Editorial
-
Mark
Simulatorträning ger nya läkare självförtroende vid akuta tillstånd
(
- Contribution to journal › Article
- 2021
-
Mark
Emergency Department Crowding. Objective Modelling based on Workload
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Emergency medicine in Iran: : the history and the question of gender equality
(
- Contribution to journal › Debate/Note/Editorial
-
Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
-
Mark
Glucose and high-sensitivity troponin T predict a low risk of major adverse cardiac events in emergency department chest pain patients
(
- Contribution to journal › Article
- 2020
-
Mark
The Swedish Ambulance Services
(
- Contribution to journal › Debate/Note/Editorial
- 2019
-
Mark
Ischemic QRS prolongation as a biomarker of myocardial injury in STEMI patients
(
- Contribution to journal › Article