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Samuel Knoedler

Biographic Data

ID906615
NAMESamuel Knoedler
GIVEN NAMESSamuel
FAMILY NAMEKnoedler
SIGNATUREKNOEDLER S
AFFILIATIONSTechnical University of Munich
ORCID0000-0001-5798-8003
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Postoperative Outcomes After Breast Reduction

    Open Access•Samuel Knoedler, Thomas Schaschinger et al.•ARTICLE•Journal of Racial and Ethnic…•2025

  • ChatGPT’s Response Consistency

    Open Access•Paul F Funk, Cosima C Hoch et al.•ARTICLE•European Journal of Investigation…•2024

    (1) Background: As the field of artificial intelligence (AI) evolves, tools like ChatGPT are increasingly integrated into various domains of medicine, including medical education and research. Given the critical nature of medicine, it is of paramount importance that AI tools offer a high degree of reliability in the information they provide. (2) Methods: A total of n = 450 medical examination questions were manually entered into ChatGPT thrice, e…

  • Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients

    Open Access•Doha Obed, Mustafa Salim et al.•ARTICLE•International Journal of…•2022

    Multiple outcome scoring models have been used in predicting mortality in burn patients. In this study, we compared the accuracy of five established models in predicting outcomes in burn patients admitted to the intensive care unit and assessed risk factors associated with mortality. Intensive care burn patients admitted between March 2007 and December 2020 with total body surface area (TBSA) affected ≥ 10% were analyzed. Multivariate analysis wa…

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  • Comparative Analysis of Composite Mortality Prediction Scores in Intensive Care Burn Patients

    Open Access•Doha Obed, Mustafa Salim et al.•ARTICLE•International Journal of…•2022

    Multiple outcome scoring models have been used in predicting mortality in burn patients. In this study, we compared the accuracy of five established models in predicting outcomes in burn patients admitted to the intensive care unit and assessed risk factors associated with mortality. Intensive care burn patients admitted between March 2007 and December 2020 with total body surface area (TBSA) affected ≥ 10% were analyzed. Multivariate analysis wa…

  • ChatGPT’s Response Consistency

    Open Access•Paul F Funk, Cosima C Hoch et al.•ARTICLE•European Journal of Investigation…•2024

    (1) Background: As the field of artificial intelligence (AI) evolves, tools like ChatGPT are increasingly integrated into various domains of medicine, including medical education and research. Given the critical nature of medicine, it is of paramount importance that AI tools offer a high degree of reliability in the information they provide. (2) Methods: A total of n = 450 medical examination questions were manually entered into ChatGPT thrice, e…

  • Postoperative Outcomes After Breast Reduction

    Open Access•Samuel Knoedler, Thomas Schaschinger et al.•ARTICLE•Journal of Racial and Ethnic…•2025

Medicine (3 works) · Internal Medicine (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Breast cancer (1 work) · Breast Cancer Treatment Studies (1 work) · Breast Implant and Reconstruction (1 work) · Breast reduction (1 work) · Burn Injury Management and Outcomes (1 work) · Cancer (1 work)

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