Christopher Martin Sauer
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View article: Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection
Automated CT-based sarcopenia assessment for risk stratification of patients undergoing colorectal cancer resection Open
Despite the prognostic relevance of sarcopenia in colorectal cancer, it has not yet been incorporated into routine clinical patient assessment. This study investigates the potential of automatically CT-derived muscle-to-bone ratio (MBR) fo…
View article: The Rise of "Vibe Science": How AI Threatens Scientific Rigor
The Rise of "Vibe Science": How AI Threatens Scientific Rigor Open
View article: The Power of Data Communities
The Power of Data Communities Open
Datasets together with active scientific communities prepared to leverage them can contribute to scientific progress and facilitate making research more equitable. In this study we found that MIMIC, despite its limited amount of funding, m…
View article: Sharing is caring: A systematic review of publicly available intensive care data sets
Sharing is caring: A systematic review of publicly available intensive care data sets Open
Each public ICU data set differs due to differences in medical practice, information technologies and approach to legal restrictions. This systematic review provides clinicians and data scientists with an overview of available public ICU d…
View article: Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review
Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review Open
Background Clinical care globally faces increasing strain due to escalating documentation demands. Simultaneously, technological solutions for clinical workflows, particularly inpatient handovers, are being developed to alleviate workforce…
View article: The Data Artifacts Glossary: a community-based repository for bias on health datasets
The Data Artifacts Glossary: a community-based repository for bias on health datasets Open
View article: Why implementing machine learning algorithms in the clinic is not a plug-and-play solution: a simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis
Why implementing machine learning algorithms in the clinic is not a plug-and-play solution: a simulation study of a machine learning algorithm for acute leukaemia subtype diagnosis Open
This study was supported by the DFG-cofounded UMEA Clinician Scientist Program and the Ministry of Culture and Science of the State of North Rhine-Westphalia.
View article: Vital lessons from struggling partnerships and potential partnerships: an international study with leaders across the health sector
Vital lessons from struggling partnerships and potential partnerships: an international study with leaders across the health sector Open
View article: Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study
Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study Open
Background Hospitals use triage systems to prioritize the needs of patients within available resources. Misclassification of a patient can lead to either adverse outcomes in a patient who did not receive appropriate care in the case of und…
View article: Establishing Medical Intelligence—Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study
Establishing Medical Intelligence—Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study Open
Background FHIR (Fast Healthcare Interoperability Resources) has been proposed to enable health data interoperability. So far, its applicability has been demonstrated for selected research projects with limited data. Objective This study a…
View article: Why federated learning will do little to overcome the deeply embedded biases in clinical medicine
Why federated learning will do little to overcome the deeply embedded biases in clinical medicine Open
We read with great interest the article by van Genderen et al. [1] which provides a contemporary and comprehensive overview of the potential of federating data access and data sharing in intensive care.Importantly, the authors list the per…
View article: Evaluating equitable care in the ICU: Creating a causal inference framework to assess the impact of life-sustaining interventions across racial and ethnic groups
Evaluating equitable care in the ICU: Creating a causal inference framework to assess the impact of life-sustaining interventions across racial and ethnic groups Open
Background Variability in the provision of intensive care unit (ICU)-interventions may lead to disparities between socially defined racial-ethnic groups. Research Question We used causal inference to examine the use of invasive mechanical …
View article: Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients
Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients Open
Ultimately, recalibrating models reduces the challenge of generalization to unseen datasets. Moreover, utilizing the patient-matching methodology together with the assessment of uncertainty calibration can serve as a step toward the develo…
View article: Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management
Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management Open
View article: Leveraging electronic health records for data science: common pitfalls and how to avoid them
Leveraging electronic health records for data science: common pitfalls and how to avoid them Open
View article: Radical versus partial nephrectomy and survival from stage T1 renal cell carcinoma in three prospective cohorts
Radical versus partial nephrectomy and survival from stage T1 renal cell carcinoma in three prospective cohorts Open
Background Whether or not a survival difference exists between radical and partial nephrectomy for stage T1 renal cell carcinoma (RCC) is controversial. We therefore aimed to evaluate cancer-specific, other cause, and overall survival amon…
View article: Understanding critically ill sepsis patients with normal serum lactate levels: results from U.S. and European ICU cohorts
Understanding critically ill sepsis patients with normal serum lactate levels: results from U.S. and European ICU cohorts Open
View article: Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients Open
View article: Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients Open
Patients admitted to the intensive care unit frequently have anemia and impaired renal function, but often lack historical blood results to contextualize the acuteness of these findings. Using data available within two hours of ICU admissi…
View article: Feature selection and prediction of treatment failure in tuberculosis
Feature selection and prediction of treatment failure in tuberculosis Open
Machine learning can help to identify patients at higher risk of treatment failure. Closer monitoring of these patients may decrease treatment failure rates and prevent emergence of antibiotic resistance. The use of inexpensive basic demog…
View article: Improved Survival of Cancer Patients Admitted to the Intensive Care Unit between 2002 and 2011 at a U.S. Teaching Hospital
Improved Survival of Cancer Patients Admitted to the Intensive Care Unit between 2002 and 2011 at a U.S. Teaching Hospital Open
Between 2002 and 2011, the number of cancer patients admitted to the ICU more than doubled, while clinical severity scores remained overall unchanged, suggesting improved treatment. Although cancer patients had higher mortality rates, both…
View article: USCAP 2018 Abstracts: Dermatopathology(524–585)
USCAP 2018 Abstracts: Dermatopathology(524–585) Open
Background: Melanoma disease burden is confounded by its propensity for mimicry of many cancers histologically.Afflicted cancer patients in our setting present with advanced diseases.Thus, accurate diagnosis is mandatory for the treatment …
View article: Merkelzellkarzinom: kutane Manifestation einer hochmalignen Prä-/pro-B-Zell-Neoplasie?
Merkelzellkarzinom: kutane Manifestation einer hochmalignen Prä-/pro-B-Zell-Neoplasie? Open
View article: Analyse der neuroendokrinen Genexpression und Genregulation im Merkelzellkarzinom
Analyse der neuroendokrinen Genexpression und Genregulation im Merkelzellkarzinom Open
Merkel cell carcinoma (MCC) is a highly malignant skin cancer characterized by early metastases and poor survival. The discovery of the Merkel cell polyomavirus (MCPyV) has enormously impacted our understanding of its etiopathogenesis and …