Thomas Tschoellitsch

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Jens MeierProfessor für Anästhesiologie und operative Intensivmedizin, JKU LinzVerificeret mail på kepleruniklinikum.at
Carl BöckJohannes Kepler UniversityVerificeret mail på jku.at
Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerificeret mail på ml.jku.at
Alexander MaletzkyResearch Unit Medical Informatics, RISC Software GmbHVerificeret mail på risc-software.at
Theresa RolandPost-Doc, Institute for Machine Learning, Johannes Kepler University LinzVerificeret mail på jku.at
Bernd LamprechtKepler University Hospital Linz, Johannes Kepler University LinzVerificeret mail på a1.net
Helmut J. F. SALZER, MD, MPH, FEC...Professor of Clinical Infectious Diseases, Kepler University Hospital, Linz, AustriaVerificeret mail på kepleruniklinikum.at
Axel HofmannAdjunct Professor, University of Western AustraliaVerificeret mail på bloodmanagement.org
Alexander Egle3rd Medical Department Paracelsus Medical UniversityVerificeret mail på salk.at
Andreas MittereckerVerificeret mail på ml.jku.at
Dr Kevin TrentinoUniversity of Western AustraliaVerificeret mail på uwa.edu.au
Dr. Michael GiretzlehnerHead of Research Unit Medical Informatics, RISC Software GmbH, Johannes Kepler University LinzVerificeret mail på risc.uni-linz.ac.at
Stefan ThumfartSenior Researcher, Research Unit Medical Informatics, RISC Software GmbHVerificeret mail på risc-software.at
Günter KlambauerProf., LIT AI Lab & Institute for Machine Learning, Johannes Kepler UniversityVerificeret mail på ml.jku.at
Philipp SeidlInstitute for Machine Learning, Johannes Kepler University LinzVerificeret mail på ml.jku.at
Philipp MoserResearch Department Medical Informatics, RISC Software GmbHVerificeret mail på risc-software.at
Mario HuemerProfessor of Signal Processing, Johannes Kepler University LinzVerificeret mail på ieee.org
Milan VoskoJohannes Kepler UniversityVerificeret mail på kepleruniklinikum.at
Péter KovácsAssociate professor, Eötvös Loránd University, ELTEVerificeret mail på inf.elte.hu
Ulrich BodenhoferProfessor for Artificial Intelligence, University of Applied Sciences Upper AustriaVerificeret mail på fh-hagenberg.at

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Thomas Tschoellitsch

Johannes Kepler University, Linz, Austria

Verificeret mail på jku.at

Artificial Intelligence Machine Learning Patient Safety Critical Care Medicine AI in Health


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	258	2020
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	66	2021
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	49	2021
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	47	2021
Machine learning–based prediction of transfusion A Mitterecker, A Hofmann, KM Trentino, A Lloyd, MF Leahy, ... Transfusion 60 (9), 1977-1986, 2020	44	2020
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	31	2021
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	26	2022
Artificial intelligence and machine learning in patient blood management: a scoping review JM Meier, T Tschoellitsch Anesthesia & Analgesia 135 (3), 524-531, 2022	25	2022
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	19	2022
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	17	2022
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	14	2022
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	9	2021
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	7	2023
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	6	2021
The value of a machine learning algorithm to predict adverse short-term outcome during resuscitation of patients with in-hospital cardiac arrest: a retrospective study MW Dünser, D Hirschl, B Weh, J Meier, T Tschoellitsch European Journal of Emergency Medicine 30 (4), 252-259, 2023	5	2023
The value of clinical signs as indicators of shock T Tschoellitsch, M Noitz, M Tuerk, J Meier, MW Duenser Intensive Care Medicine 49 (11), 1413-1415, 2023	4	2023
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	4	2023
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	4	2022
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	4	2022
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	1	2024

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