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Real Time Artificial Intelligence Autonomous Human Lung Simulator

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As we are the products based company that LuSi & TestChest.   These our product helps in medical industries to saving human lives, educational training purpose, hospitals. Neosim is a Swiss agency based via way of means of specialists with robust heritage in lung body structure and mechanical ventilation. It turned into based at the standards of growing simulators which have independent body structure which might be primarily based totally on posted medical facts and are as near truth as possible. Our assignment is to shop lives from day one via way of means of the usage of our independent simulators. For education and schooling of clinicians, particularly breathing therapists and extensive care professionals, its real time artificial intelligence simulators create practical inhaling fitness and disease. In evaluation to different simulators, neosim`s simulators may be dealt with extensive care remedy strategies and gadget and reply autonomously like a actual human patient. ...

Lung function parameters for simulation based training

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  Josef X. Brunner, Neosim AG, Chur, Switzerland Optimizing respiratory therapy in intensive care is a challenge for clinicians at all levels of expertise. The difficulties rise with the degree of illness and along rises the associated morbidity and mortality. Simulation based training is a promising avenue to improve the learning curve and to explore the respiratory management of such difficult and rare cases. In simulation session, patient decompensation can be simulated and therapy options can be practiced without risk for patient - and without risk for clinicians! In contrast to other simulators, autonomous simulators do not need an operator to "fake" vital signs because they create vital signs in real-time and based on physiological parameters that were set to define patient cases. Unfortunately, it is not easy to find values for those parameters in the literature. This white paper is intended to fill the void. Fundamental set of parameters Simulation of respiratory fail...