Our study just published in @JAHA_AHA
Systematic Review and Meta‐Analysis of Prehospital Machine Learning Scores as Screening Tools for Early Detection of Large Vessel Occlusion in Patients With Suspected Stroke 🚑����
Huge thanks to Martha and the team.
https://t.co/tE6IT6pY84
Are you a pre-hospital care provider who has responded to MCIs? Your input is invaluable! Please take a few minutes to participate in this survey. Your experiences can help improve future response efforts. https://t.co/zrKtswrBbq
Shortening Door-to-Balloon Time: The Use of Ambulance versus Private Vehicle for Patients with ST-Segment Elevation Acute Myocardial Infarction https://t.co/gmEpd5Pyfa
A data-driven computational methodology towards a pre-hospital Acute Ischaemic Stroke screening tool using haemodynamics waveforms https://t.co/y1YMI3qnFF
EMS Interventions during Planned Out-of-Hospital Births with a Midwife: A Retrospective Analysis over Four Years in the Polish Population https://t.co/Yu59ogVtmg
Application of Automated External Defibrillators Among the Public: A Cross-Sectional Study of Knowledge, Attitude, Practice, and Barriers of Use in Saudi Arabia https://t.co/okH62XRQBF #paramedicpapers%20 #feedly
Establishment of a prediction model for prehospital return of spontaneous circulation in out-of-hospital patients with cardiac arrest https://t.co/BWco5gKdRF #paramedicpapers%20 #feedly
Social Needs in the Prehospital Setting (SNIPS): EMS Attitudes Toward Addressing Patient Social Needs https://t.co/lyy9PIh28e #paramedicpapers%20 #feedly