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Thomas Tschoellitsch

Showing results (1-10 of 27) with videos related to

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Anesthesia and Analgesia|August 17, 2022
Artificial Intelligence and Machine Learning in Patient Blood Management: A Scoping ReviewJens M Meier, Thomas Tschoellitsch
Laboratory Medicine|December 19, 2020
Machine Learning Prediction of SARS-CoV-2 Polymerase Chain Reaction Results with Routine Blood TestsThomas Tschoellitsch, Martin Dünser, Carl Böck, et al.
Anaesthesia, Critical Care & Pain Medicine|November 12, 2021
Randomised controlled trials should be analysed using one-sided tests: PROJens Meier, Thomas Tschoellitsch, Ulrich Bodenhofer, et al.
Intensive Care Medicine|September 11, 2023
The value of clinical signs as indicators of shockThomas Tschoellitsch, Matthias Noitz, Michael Türk, et al.
European Journal of Emergency Medicine : Official Journal of the European Society for Emergency Medicine|April 28, 2023
The value of a machine learning algorithm to predict adverse short-term outcome during resuscitation of patients with in-hospital cardiac arrest: a retrospective studyMartin W Dünser, David Hirschl, Birgit Weh, et al.
European Journal of Anaesthesiology|July 19, 2022
Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgeryThomas Tschoellitsch, Carl Böck, Tina Tomić Mahečić, et al.
Computers in Biology and Medicine|October 3, 2022
Diagnostic quality assessment for low-dimensional ECG representationsPéter Kovács, Carl Böck, Thomas Tschoellitsch, et al.
Journal of Clinical Medicine|January 21, 2023
The Value of the First Clinical Impression as Assessed by 18 Observations in Patients Presenting to the Emergency DepartmentThomas Tschoellitsch, Stefan Krummenacker, Martin W Dünser, et al.
Journal of Medical Systems|March 29, 2022
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood TestsTheresa Roland, Carl Böck, Thomas Tschoellitsch, et al.
Emergency Medicine Journal : EMJ|April 24, 2026
Management and outcomes of critically ill patients admitted to a critical care resuscitation unit: a retrospective cohort studyMatthias Noitz, Dominik Jenny, Florian Steininger, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Anesthesia and Analgesia|August 17, 2022
Artificial Intelligence and Machine Learning in Patient Blood Management: A Scoping ReviewJens M Meier, Thomas Tschoellitsch
Laboratory Medicine|December 19, 2020
Machine Learning Prediction of SARS-CoV-2 Polymerase Chain Reaction Results with Routine Blood TestsThomas Tschoellitsch, Martin Dünser, Carl Böck, et al.
Anaesthesia, Critical Care & Pain Medicine|November 12, 2021
Randomised controlled trials should be analysed using one-sided tests: PROJens Meier, Thomas Tschoellitsch, Ulrich Bodenhofer, et al.
Intensive Care Medicine|September 11, 2023
The value of clinical signs as indicators of shockThomas Tschoellitsch, Matthias Noitz, Michael Türk, et al.
European Journal of Emergency Medicine : Official Journal of the European Society for Emergency Medicine|April 28, 2023
The value of a machine learning algorithm to predict adverse short-term outcome during resuscitation of patients with in-hospital cardiac arrest: a retrospective studyMartin W Dünser, David Hirschl, Birgit Weh, et al.
European Journal of Anaesthesiology|July 19, 2022
Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgeryThomas Tschoellitsch, Carl Böck, Tina Tomić Mahečić, et al.
Computers in Biology and Medicine|October 3, 2022
Diagnostic quality assessment for low-dimensional ECG representationsPéter Kovács, Carl Böck, Thomas Tschoellitsch, et al.
Journal of Clinical Medicine|January 21, 2023
The Value of the First Clinical Impression as Assessed by 18 Observations in Patients Presenting to the Emergency DepartmentThomas Tschoellitsch, Stefan Krummenacker, Martin W Dünser, et al.
Journal of Medical Systems|March 29, 2022
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood TestsTheresa Roland, Carl Böck, Thomas Tschoellitsch, et al.
Emergency Medicine Journal : EMJ|April 24, 2026
Management and outcomes of critically ill patients admitted to a critical care resuscitation unit: a retrospective cohort studyMatthias Noitz, Dominik Jenny, Florian Steininger, et al.
Pageof 3