Search Results - "Odenstedt Herges, Helena"
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End-of-life decision-making in critically ill old patients with and without coronavirus disease 2019
Published in Acta anaesthesiologica Scandinavica (01-01-2024)“…There are few studies on the differences in end-of-life decisions making in critically ill patients with and without coronavirus disease 2019 (COVID-19). This…”
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Navigating the complex dynamics of anesthesiologists' professional identity formation in the context of their specialty training program: a phenomenographic perspective
Published in BMC medical education (15-05-2024)“…A specialty training program is crucial for shaping future specialist doctors, imparting clinical knowledge and skills, and fostering a robust professional…”
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Anesthesiologists’ conceptions of learning anesthesia in the context of their specialty training program: a phenomenographic study
Published in BMC medical education (21-08-2023)“…Abstract Background Training anesthesiologists poses challenges and complexities, particularly in defining and teaching excellence in anesthesia. Existing…”
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Machine learning analysis of heart rate variability to detect delayed cerebral ischemia in subarachnoid hemorrhage
Published in Acta neurologica Scandinavica (01-02-2022)“…Objectives Approximately 30% of patients with aneurysmal subarachnoid hemorrhage (aSAH) develop delayed cerebral ischemia (DCI). DCI is associated with…”
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Cerebral ischemia detection using artificial intelligence (CIDAI)—A study protocol
Published in Acta anaesthesiologica Scandinavica (01-10-2020)“…Background The onset of cerebral ischemia is difficult to predict in patients with altered consciousness using the methods available. We hypothesize that…”
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Association between inflammatory response and outcome after subarachnoid haemorrhage
Published in Acta neurologica Scandinavica (01-02-2021)“…Objectives Recent reports suggest an association between the inflammatory response after aneurysmal subarachnoid haemorrhage (aSAH) and patients' outcome. The…”
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Long‐term outcomes after aneurysmal subarachnoid hemorrhage: A prospective observational cohort study
Published in Acta neurologica Scandinavica (01-11-2022)“…Objectives The survival rates for patients affected by aneurysmal subarachnoid hemorrhage (aSAH) have increased in recent years; however, many patients…”
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Reasons for physician‐related variability in end‐of‐life decision‐making in intensive care
Published in Acta anaesthesiologica Scandinavica (01-09-2021)“…Background There is increasing evidence that the individual physician is the main factor influencing variability in end‐of‐life decision‐making in intensive…”
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Selection of CT variables and prognostic models for outcome prediction in patients with traumatic brain injury
Published in Scandinavian journal of trauma, resuscitation and emergency medicine (17-07-2021)“…Abstract Background Traumatic brain injuries (TBI) are associated with high risk of morbidity and mortality. Early outcome prediction in patients with TBI…”
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Age, SAPS 3 and female sex are associated with decisions to withdraw or withhold intensive care
Published in Acta anaesthesiologica Scandinavica (01-10-2019)“…Background Intensive care treat critically ill patients. When intensive care is not considered beneficial for the patient, decisions to withdraw or withhold…”
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Heart rate variability monitoring for the detection of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage
Published in Acta anaesthesiologica Scandinavica (01-08-2020)“…Background Delayed cerebral ischemia (DCI) is a major cause of impaired outcome after aneurysmal subarachnoidal hemorrhage (aSAH). In this observational cohort…”
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Journal Article -
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Mental fatigue assessment may add information after aneurysmal subarachnoid hemorrhage
Published in Brain and behavior (01-07-2019)“…Background Mental fatigue, as part of cognitive dysfunction, has been reported to be common after subarachnoid hemorrhage and it significantly affects quality…”
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Impact of Acute Cardiac Complications After Subarachnoid Hemorrhage on Long-Term Mortality and Cardiovascular Events
Published in Neurocritical care (01-12-2018)“…Background Cardiac complications frequently occur after subarachnoid hemorrhage (SAH) and are associated with an increased risk of neurological complications…”
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Super-refractory status epilepticus with persisting seizures and treatment-related complications: Case report
Published in Epilepsy & behavior (01-12-2019)Get full text
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Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives
Published in 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN) (01-05-2021)“…Using machine learning in clinical practice poses hard requirements on explainability, reliability, replicability and robustness of these systems. Therefore,…”
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Conference Proceeding -
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Effect of patient position and PEEP on hepatic, portal and central venous pressures during liver resection
Published in Acta anaesthesiologica Scandinavica (01-10-2011)“…Background It has been suggested that blood loss during liver resection may be reduced if central venous pressure (CVP) is kept at a low level. This can be…”
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Journal Article -
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End-expiratory lung volume and ventilation distribution with different continuous positive airway pressure systems in volunteers
Published in Acta anaesthesiologica Scandinavica (01-02-2011)“…Background: Continuous positive airway pressure (CPAP) has been shown to improve oxygenation and a number of different CPAP systems are available. The aim of…”
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Clinical evaluation of a partial CO2 rebreathing technique for cardiac output monitoring in critically ill patients
Published in Acta anaesthesiologica Scandinavica (01-02-2002)“…Background: Monitoring central hemodynamics is essential in critically ill patients and less invasive techniques are needed. In this study, the clinical and…”
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Trusting Machine Learning Results from Medical Procedures in the Operating Room
Published 04-01-2022“…AAAI workshop on Trustworthy AI for Healthcare 2022 Machine learning can be used to analyse physiological data for several purposes. Detection of cerebral…”
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Towards Trustworthy Cross-patient Model Development
Published 20-12-2021“…AAAI workshop on Trustworthy AI for Healthcare, 2022 Machine learning is used in medicine to support physicians in examination, diagnosis, and predicting…”
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Journal Article