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Robert Wunderlich

Showing results (21-30 of 31) with videos related to

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Scientific Data|August 16, 2017
A multimodal dataset for various forms of distracted drivingSalah Taamneh, Panagiotis Tsiamyrtzis, Malcolm Dcosta, et al.
Die Anaesthesiologie|November 18, 2024
[The golden approach to trauma. Which blood products are needed for optimization of prehospital trauma care?]Maximilian Lothar Bamberg, Christian Grasshoff, Jessica Gerstner, et al.
BMC Medical Education|March 20, 2025
Correction: Virtual reality cricothyrotomy- a tool in medical emergency education throughout various disciplinesValentin Burkhardt, Marianne Valette, Iva Speck, et al.
BMC Medical Education|February 18, 2025
Virtual reality cricothyrotomy - a tool in medical emergency education throughout various disciplinesValentin Burkhardt, Marianne Valette, Iva Speck, et al.
Biomed Research International|November 20, 2015
The Relevance of Interoception in Chronic Tinnitus: Analyzing Interoceptive Sensibility and AccuracyPia Lau, Miriam Miesen, Robert Wunderlich, et al.
Journal of Medical Internet Research|June 15, 2023
Development of an Anticipatory Triage-Ranking Algorithm Using Dynamic Simulation of the Expected Time Course of Patients With Trauma: Modeling and Simulation StudyManuel Sigle, Leon Berliner, Erich Richter, et al.
BMC Neurology|March 19, 2016
Clinical trial on tonal tinnitus with tailor-made notched music trainingAlwina Stein, Robert Wunderlich, Pia Lau, et al.
The Lancet. Digital Health|January 31, 2026
AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation studyManuel Sigle, Matthias Boos, Tim Weiss, et al.
BMC Emergency Medicine|December 13, 2025
Identifying optimal locations for automated external defibrillators (AED) in Freiburg: development and validation of a machine learning model based on demographic and infrastructural dataJulian Ganter, Hannah Bakker, Stefan Nickel, et al.
Resuscitation Plus|February 8, 2024
Out-of-<b>H</b>ospital cardiac arrest & Smartphon<b>E R</b>esp<b>O</b>nd<b>E</b>r<b>S</b> trial (<b>HEROES</b> Trial): Methodology and study protocol of a pre-post-design trial of the effect of implementing a smartphone alerting system on survival in out-of-hospital cardiac arrestMichael P Müller, Julian Ganter, Hans-Jörg Busch, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Scientific Data|August 16, 2017
A multimodal dataset for various forms of distracted drivingSalah Taamneh, Panagiotis Tsiamyrtzis, Malcolm Dcosta, et al.
Die Anaesthesiologie|November 18, 2024
[The golden approach to trauma. Which blood products are needed for optimization of prehospital trauma care?]Maximilian Lothar Bamberg, Christian Grasshoff, Jessica Gerstner, et al.
BMC Medical Education|March 20, 2025
Correction: Virtual reality cricothyrotomy- a tool in medical emergency education throughout various disciplinesValentin Burkhardt, Marianne Valette, Iva Speck, et al.
BMC Medical Education|February 18, 2025
Virtual reality cricothyrotomy - a tool in medical emergency education throughout various disciplinesValentin Burkhardt, Marianne Valette, Iva Speck, et al.
Biomed Research International|November 20, 2015
The Relevance of Interoception in Chronic Tinnitus: Analyzing Interoceptive Sensibility and AccuracyPia Lau, Miriam Miesen, Robert Wunderlich, et al.
Journal of Medical Internet Research|June 15, 2023
Development of an Anticipatory Triage-Ranking Algorithm Using Dynamic Simulation of the Expected Time Course of Patients With Trauma: Modeling and Simulation StudyManuel Sigle, Leon Berliner, Erich Richter, et al.
BMC Neurology|March 19, 2016
Clinical trial on tonal tinnitus with tailor-made notched music trainingAlwina Stein, Robert Wunderlich, Pia Lau, et al.
The Lancet. Digital Health|January 31, 2026
AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation studyManuel Sigle, Matthias Boos, Tim Weiss, et al.
BMC Emergency Medicine|December 13, 2025
Identifying optimal locations for automated external defibrillators (AED) in Freiburg: development and validation of a machine learning model based on demographic and infrastructural dataJulian Ganter, Hannah Bakker, Stefan Nickel, et al.
Resuscitation Plus|February 8, 2024
Out-of-<b>H</b>ospital cardiac arrest & Smartphon<b>E R</b>esp<b>O</b>nd<b>E</b>r<b>S</b> trial (<b>HEROES</b> Trial): Methodology and study protocol of a pre-post-design trial of the effect of implementing a smartphone alerting system on survival in out-of-hospital cardiac arrestMichael P Müller, Julian Ganter, Hans-Jörg Busch, et al.
Pageof 4