Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP)

Authors

Patrick Günther (ORCID: https://orcid.org/0000-0002-9135-7819)
Britta Marko
Tim Rahmel (ORCID: https://orcid.org/0000-0002-7039-6288)
Lars Palmowski
Julia E. Bandow (ORCID: https://orcid.org/0000-0003-4100-8829)
Lars Bergmann (ORCID: https://orcid.org/0000-0002-8603-8549)
Björn Koos (ORCID: https://orcid.org/0000-0002-0544-4124)
Andrea Witowski
Katharina Rump (ORCID: https://orcid.org/0000-0003-2220-519X)
Michael Adamzik (ORCID: https://orcid.org/0000-0002-7188-4873)
Barbara Sitek
Hartmuth Nowak (ORCID: https://orcid.org/0000-0002-6509-1463)
Martin Eisenacher (ORCID: https://orcid.org/0000-0003-2687-7444)

Institutions

EP Analytics (United States) (US)
Universitätsklinikum Knappschaftskrankenhaus Bochum (DE)
Ruhr University Bochum (DE)

Publication Details

Journal: BMJ Open
Published: 2024-12-01
DOI: https://doi.org/10.1136/bmjopen-2024-086094
Citations: 4
Primary Topic: Sepsis Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 1.55

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article

Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP)

Patrick Günther, Britta Marko, Tim Rahmel, Lars Palmowski et al.

Dec 1, 2024

4 citations

BMJ Open

Sepsis Diagnosis and Treatment

1.55

article

Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP)

Patrick Günther, Britta Marko, Tim Rahmel, Lars Palmowski, Julia E. Bandow, Lars Bergmann, Björn Koos, Andrea Witowski, Katharina Rump, Michael Adamzik, Barbara Sitek, Hartmuth Nowak, Martin Eisenacher

December 1, 2024article en

4 citations

Abstract

No abstract available for this paper.

BMJ OpenVol. 14(12)

EP Analytics (United States) (US), Universitätsklinikum Knappschaftskrankenhaus Bochum (DE), Ruhr University Bochum (DE)

Openalex Percentile: Top 15%

Sepsis Diagnosis and Treatment

1.55

DOI Open Access PDF OpenAlex

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Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP) — Patrick Günther, Britta Marko, et al. · BMJ Open (2024) | TGRS Research Map | TGRS