An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
Background Pre-hospital electrocardiogram (ECG) transmission to an expert for interpretation and triage reduces time to acute percutaneous coronary intervention (PCI) in patients with ST elevation Myocardial Infarction (STEMI). In order to detect all STEMI patients, the ECG should be transmitted in all cases of suspected acute cardiac ischemia. The aim of this study was to…


![That’s enough! [Swedish]](https://ardavan.se/wp-content/uploads/2018/08/skanskan_logotype.png)
![Gastrointestinal Stromal Tumor [Swedish]](https://ardavan.se/wp-content/uploads/2018/07/svki.png)
![Time to discuss parental responsibility [Swedish]](https://ardavan.se/wp-content/uploads/2018/08/kvp.jpg)
![Sanctions; the only way to democracy in Iran [Swedish]](https://ardavan.se/wp-content/uploads/2018/08/uttryck.png)

![The Moderate party must sweep in front of their own door [Swedish]](https://ardavan.se/wp-content/uploads/2018/08/svt-logga.jpg)
![“Not all Kurds are separatists” [Svenska]](https://ardavan.se/wp-content/uploads/2018/08/ladda-ned.png)
![Performance of Troponin T and CKMB at the Emergency Department to Diagnose Acute Coronary Syndrome [Swedish]](https://ardavan.se/wp-content/uploads/2018/07/pos2007GbG.png)