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Marc Kriege,Jérôme Michel Defosse
Marc Kriege
The optimal technique for airway management during intubation with a double-lumen tube (DLT) in thoracic anesthesia remains unclear. While efforts are now being made to use a video laryngoscope for routine use with single-lumen tubes, its u...
Stefan Rusev,Lars Bergmann,Matthias Unterberg et al.
Stefan Rusev et al.
[AI Algorithms - Intraoperative Hemodynamic Monitoring of Tomorrow?] [0.03%]
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Masoud Dehbozorgi,Nelly Zental,Jan Larmann et al.
Masoud Dehbozorgi et al.
This article provides an overview of basic concepts of artificial intelligence (AI), AI-based approaches in intraoperative hemodynamic monitoring and management, their potential benefits and limitations, and possible future directions. AI i...
Peter Wichmann,Sebastian Haas,Daniel Reuter
Peter Wichmann
The article describes the transition from traditional goal-directed therapy (GDT) to personalized hemodynamic management in the perioperative setting. The primary objective of hemodynamic optimization is to ensure adequate tissue oxygenatio...
Jonas Weber,Jérôme Michel Defosse
Jonas Weber
[Handling Sterile Materials and Medications in Anesthesia and Functional Areas] [0.03%]
麻醉及功能科室 sterile 物品与药品的管理
Sebastian Schulz-Stübner,Stefan Bushuven
Sebastian Schulz-Stübner
Bacterial contamination at the anesthesia workstation is common and correlates with an increased rate of postoperative infections. This article emphasizes the importance of strict hygiene regulations in anesthesia and functional areas to pr...
[Artificial Intelligence in Emergency Medicine - Efficient Logistics by Data-driven Systems] [0.03%]
[紧急医学中的人工智能——数据驱动系统的高效物流]
Julia Pagels,Lena Böttjer,Leonie Hannappel et al.
Julia Pagels et al.
Emergency medicine is facing increasing logistical pressure due to rising case numbers, demographic change, staff shortages, the ongoing hospital reform and new threat scenarios such as pandemics or infrastructure failures. While artificial...
[AI in Intensive Care Medicine - Focus on Early Detection of Sepsis] [0.03%]
[危重症医学中的AI应用—侧重于早期识别脓毒症]
Hartmuth Nowak,Michael Adamzik
Hartmuth Nowak
Sepsis remains the third leading cause of death worldwide after cardiovascular and malignant diseases, claiming approximately 11 million lives annually. In Germany alone, around 280000 people develop sepsis each year, with more than 150 dea...
Matthias Heringlake,Simon Schemke,Lennart H Muras
Matthias Heringlake
Artificial intelligence (AI) is increasingly finding its way into anesthesiology and intensive care medicine. In the context of hemodynamic assessment, the analysis of arterial blood pressure waveforms for the prediction of impending hypote...