Anästhesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
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Anasthesiol Intensivmed Notfallmed Schmerzther · Mar 2022
Review[Usage of Artificial Intelligence in the Combat against the COVID-19 Pandemic].
The COVID-19 pandemic is a global health emergency of historic dimension. In this situation, researchers worldwide wanted to help manage the pandemic by using artificial intelligence (AI). ⋯ The addressed aspects encompass AI algorithms for analysis of thoracic X-rays or CTs, prediction models for severity and outcome of the disease, AI applications in development of new drugs and vaccines as well as forecasting models for spread of the virus. The review shows, which approaches were pursued, and which were successful.
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Anasthesiol Intensivmed Notfallmed Schmerzther · Mar 2022
Review[Update on Intensive Care Unit Management of Stroke].
In this review, we provide an update on the intensive care unit (ICU) management of ischemic stroke. Over the last decade, new evidence has led to rapid changes in the early management of patients admitted with acute ischemic stroke. Nevertheless, stroke remains a leading cause of disability. ⋯ The main goal in the ICU management of stroke patients is to prevent secondary brain injury. To this end, a comprehensive approach to optimize systemic physiological homeostasis, control intracranial pressure, cerebral perfusion, hemodynamic and respiratory parameters is needed. Here, we summarize recent advances in invasive and non-invasive neuro-monitoring, decision making in decompressive neurosurgery for large supratentorial or cerebellar infarction, specific cardiorespiratory management, nutrition, temperature management and mobilization strategies in ischemic stroke.
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Anasthesiol Intensivmed Notfallmed Schmerzther · Mar 2022
[Artificial Intelligence: Challenges and Applications in Intensive Care Medicine].
The high workload in intensive care medicine arises from the exponential growth of medical knowledge, the flood of data generated by the permanent and intensive monitoring of intensive care patients, and the documentation burden. Artificial intelligence (AI) is predicted to have a great impact on ICU work in the near future as it will be applicable in many areas of critical care medicine. These applications include documentation through speech recognition, predictions for decision support, algorithms for parameter optimisation and the development of personalised intensive care medicine. ⋯ Speech recognition has the potential to reduce this documentation burden. It is not yet precise enough to be usable in the clinic. The application of AI in medicine, with the help of large data sets, promises to identify diagnoses more quickly, develop individualised, precise treatments, support therapeutic decisions, use resources with maximum effectiveness and thus optimise the patient experience in the near future.
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The Corona pandemic is a clear demonstration of the need for an alternative to face-to-face medicine. This demand makes telemedicine the tool of choice. In the preliminary stage of the Virtual Hospital North Rhine-Westphalia (VKh), tele-intensive care consultation services have contributed to both a benefit in terms of care and a benefit for individual patients. ⋯ Medical expertise and also intensive care data, both from care and research, could thus be used throughout Europe. In October 2021, the Aachen Expert Center reported on its first 112 telemedically co-managed COVID-19 patients as part of the preliminary stage of the virtual hospital. With a lethality rate of 34.2% in the group of ventilated severely ill COVID-19 patients and a transfer rate of 8%, high-quality care close to the patient's home was achieved through tele-intensive medical consultation services.
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Anasthesiol Intensivmed Notfallmed Schmerzther · Mar 2022
[Artificial Intelligence: Infrastructures and Prerequisites at European Level].
The application of artificial intelligence (AI) is often associated with the use of large amounts of data for the construction of AI models and algorithms. This data should ideally comply with the FAIR Data principles, i.e. being findable, accessible, interoperable and reusable. However, the handling of health data poses a particular challenge in this context. ⋯ We discuss the current situation but also the obstacles for a wider application of AI in medicine in Europe and give suggestions how to solve the different issues. The article covers different subjects like data protection, research data infrastructures and approval of medical products. Finally, this article shows how it can nevertheless be possible to establish a secure and at the same time effective handling of data for use in AI at the European level despite its unneglectable difficulties.