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Thomas Tschoellitsch
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Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19 …
PDW Garcia, T Fumeaux, P Guerci, DM Heuberger, J Montomoli, ...
EClinicalMedicine 25, 2020
2432020
Implications of early respiratory support strategies on disease progression in critical COVID-19: a matched subanalysis of the prospective RISC-19-ICU cohort
PD Wendel Garcia, H Aguirre-Bermeo, PK Buehler, M Alfaro-Farias, ...
Critical care 25 (1), 175, 2021
562021
Myocardial injury in severe COVID‐19 is similar to pneumonias of other origin: results from a multicentre study
P Jirak, R Larbig, Z Shomanova, EJ Froeb, D Dankl, C Torgersen, N Frank, ...
ESC Heart Failure 8 (1), 37-46, 2021
442021
Machine learning prediction of SARS-CoV-2 polymerase chain reaction results with routine blood tests
T Tschoellitsch, M Dünser, C Böck, K Schwarzbauer, J Meier
Laboratory Medicine 52 (2), 146-149, 2021
382021
Machine learning–based prediction of transfusion
A Mitterecker, A Hofmann, KM Trentino, A Lloyd, MF Leahy, ...
Transfusion 60 (9), 1977-1986, 2020
332020
To ventilate or not to ventilate during bystander CPR—A EuReCa TWO analysis
J Wnent, I Tjelmeland, R Lefering, RW Koster, H Maurer, S Masterson, ...
Resuscitation 166, 101-109, 2021
212021
Artificial intelligence and machine learning in patient blood management: a scoping review
JM Meier, T Tschoellitsch
Anesthesia & Analgesia 135 (3), 524-531, 2022
192022
Domain shifts in machine learning based Covid-19 diagnosis from blood tests
T Roland, C Böck, T Tschoellitsch, A Maletzky, S Hochreiter, J Meier, ...
Journal of Medical Systems 46 (5), 23, 2022
172022
qSOFA score poorly predicts critical progression in COVID-19 patients
S Heldt, M Neuböck, N Kainzbauer, G Shao, T Tschoellitsch, M Duenser, ...
Wiener Medizinische Wochenschrift 172 (9), 211-219, 2022
162022
Lifting hospital electronic health record data treasures: challenges and opportunities
A Maletzky, C Böck, T Tschoellitsch, T Roland, H Ludwig, S Thumfart, ...
JMIR Medical Informatics 10 (10), e38557, 2022
102022
Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgery
T Tschoellitsch, C Böck, TT Mahečić, A Hofmann, J Meier
European Journal of Anaesthesiology| EJA 39 (9), 766-773, 2022
102022
Machine learning based COVID-19 diagnosis from blood tests with robustness to domain shifts
T Roland, C Böck, T Tschoellitsch, A Maletzky, S Hochreiter, J Meier, ...
medRxiv, 2021.04. 06.21254997, 2021
52021
Using emergency department triage for machine learning-based admission and mortality prediction
T Tschoellitsch, P Seidl, C Böck, A Maletzky, P Moser, S Thumfart, ...
European Journal of Emergency Medicine 30 (6), 408-416, 2023
42023
Machine learning based color classification by means of visually evoked potentials
C Böck, L Meier, S Kalb, MR Vosko, T Tschoellitsch, M Huemer, J Meier
Applied Sciences 11 (24), 11882, 2021
42021
Machine Learning–Based Mortality Prediction of Patients at Risk During Hospital Admission
KM Trentino, K Schwarzbauer, A Mitterecker, A Hofmann, A Lloyd, ...
Journal of Patient Safety 18 (5), 494-498, 2022
32022
Diagnostic quality assessment for low-dimensional ECG representations
P Kovács, C Böck, T Tschoellitsch, M Huemer, J Meier
Computers in Biology and Medicine 150, 106086, 2022
22022
Potential Predictors for Deterioration of Renal Function After Transfusion
T Tschoellitsch, P Moser, A Maletzky, P Seidl, C Böck, T Roland, ...
Anesthesia & Analgesia 138 (3), 645-654, 2024
12024
The value of the first clinical impression as assessed by 18 observations in patients presenting to the emergency department
T Tschoellitsch, S Krummenacker, MW Dünser, R Stöger, J Meier
Journal of Clinical Medicine 12 (2), 724, 2023
12023
Emergency critical care: closing the gap between onset of critical illness and intensive care unit admission
MW Dünser, M Noitz, T Tschoellitsch, M Bruckner, M Brunner, B Eichler, ...
Wiener klinische Wochenschrift, 1-11, 2024
2024
Euroanaesthesia 2023
M Moser, M Havlicek, D Pickelsberger, T Tschoellitsch
Anästhesie Nachrichten 6 (1), 42-43, 2024
2024
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